442 Publikationen
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103H. Wu, et al., “Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, pp. 1-16.PUB | DOI
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419H. Wu, et al., “A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, pp. 1-15.PUB | DOI
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780
G. Xie, et al., “Tiny adversarial multi-objective one-shot neural architecture search”, Complex & Intelligent Systems, vol. 9, 2023.PUB | PDF | DOI | Download (ext.) | WoS -
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124C. Yang, et al., “A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization”, Evolutionary Computation , vol. 31, 2023, pp. 433-458.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612
J. Liu and Y. Jin, “A comprehensive survey of robust deep learning in computer vision”, Journal of Automation and Intelligence, 2023.PUB | PDF | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444H. Jiang, et al., “Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems”, IEEE Transactions on Cybernetics , 2023.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615L. Wu, Y. Jin, and K. Hao, “Optimized compressed sensing for communication efficient federated learning”, Knowledge-Based Systems, 2023, : 110805.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658X. Wang, et al., “Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, pp. 1-13.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810R. Wang, et al., “An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage”, Applied Soft Computing, vol. 145, 2023, : 110590.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362L. Ma, et al., “Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, pp. 1-14.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804H. Li, et al., “A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, pp. 1-14.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326S. Qin, et al., “A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization”, IEEE Transactions on Evolutionary Computation, 2023, pp. 1-1.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982169D. Yazdani, et al., “Robust Optimization Over Time: A Critical Review”, IEEE Transactions on Evolutionary Computation, 2023, pp. 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136S. Wang, B. Ding, and Y. Jin, “A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem”, IEEE Computational Intelligence Magazine, vol. 18, 2023, pp. 41-53.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584Y. Wu, et al., “Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments”, IEEE Transactions on Evolutionary Computation, vol. 27, 2023, pp. 686-700.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947Z. Song, H. Wang, and Y. Jin, “A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, pp. 1-13.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307H. Guo, et al., “DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target”, IEEE Transactions on Neural Networks and Learning Systems, 2023, pp. 1-14.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978720S. Yang, et al., “Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites”, Neurocomputing, In Press, : 126240.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320X. Zhang, et al., “Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization”, Information Sciences, vol. 636, 2023, : 118927.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978768F. Ntelemis, Y. Jin, and S.A. Thomas, “A Generic Self-Supervised Framework of Learning Invariant Discriminative Features”, IEEE Transactions on Neural Networks and Learning Systems, 2023, pp. 1-15.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979669H. Zhu, X. Wang, and Y. Jin, “Federated Many-Task Bayesian Optimization”, IEEE Transactions on Evolutionary Computation, 2023, pp. 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978681H. Guo, et al., “DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems”, IEEE Intelligent Transportation Systems Magazine, 2023, pp. 2-19.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978322Z. Yang, et al., “A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System”, IEEE Internet of Things Journal, vol. 10, 2023, pp. 6193-6204.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978328
T. Lei, et al., “Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-14.PUB | PDF | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978321X. Wang and Y. Jin, “Personalized Bayesian optimization for noisy problems”, Complex & Intelligent Systems, 2023.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978327Z. Lu, et al., “Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment”, IEEE Transactions on Evolutionary Computation, 2023, pp. 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382Y. Xiao, Y. Jin, and K. Hao, “Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification”, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, 2023, pp. 1406-1417.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978348
M. Chen, et al., “An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems”, Complex & Intelligent Systems, vol. 9, 2023, pp. 659-675.PUB | PDF | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978325Y. Hou, et al., “A Multi-agent Cooperative Learning System with Evolution of Social Roles”, IEEE Transactions on Evolutionary Computation, 2023, pp. 1-14.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323Y. Tian, et al., “Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm”, IEEE Transactions on Artificial Intelligence, vol. 4, 2023, pp. 268-281.PUB | DOI | Download (ext.)
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2023 | Konferenzbeitrag | PUB-ID: 2978670S. Liu, X. Wang, and Y. Jin, “Federated Bayesian for privacy-preserving neural architecture search”, Presented at the Congress on Evolutionary Computation, Chicago, IL, USA, 2023.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2978333P. Liao, Y. Jin, and W. Du, “EMT-NAS: Transferring architectural knowledge between tasks from different datasets”, Presented at the The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023), Vancouver, Canada, 2023.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2978539G. Xie, et al., “Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore”, Presented at the The Eleventh International Conference on Learning Representations (ICLR 2023), 2023.PUB
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969525S. Wang, Y. Jin, and M. Cai, “Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm”, IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2023.PUB | DOI | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978353C. He, et al., “Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis”, IEEE Transactions on Evolutionary Computation, 2022, pp. 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978346M. Chen, et al., “A Decomposition Method for Both Additively and Non-additively Separable Problems”, IEEE Transactions on Evolutionary Computation, 2022, pp. 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978355H. Gu, H. Wang, and Y. Jin, “Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization”, IEEE Transactions on Evolutionary Computation, 2022, pp. 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332X. Wang, Y. Jin, and K. Hao, “Computational Modeling of Structural Synaptic Plasticity in Echo State Networks”, IEEE Transactions on Cybernetics, vol. 52, 2022, pp. 11254-11266.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978334S. Yang, et al., “A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, 2022, pp. 4861-4875.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978335Y. Tian, et al., “Action Command Encoding for Surrogate-Assisted Neural Architecture Search”, IEEE Transactions on Cognitive and Developmental Systems, vol. 14, 2022, pp. 1129-1142.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978336Y. Tian, et al., “Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization”, IEEE Transactions on Cybernetics, vol. 52, 2022, pp. 9559-9572.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978338Y. Liu, J. Liu, and Y. Jin, “Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, 2022, pp. 4671-4684.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339X. Xiang, et al., “A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems”, IEEE Transactions on Intelligent Transportation Systems, vol. 23, 2022, pp. 5275-5286.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978340J. Liu, et al., “A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, 2022, pp. 3360-3375.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331X. Wang, et al., “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 26, 2022, pp. 859-871.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330S. Wang, et al., “Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis”, IEEE Transactions on Cybernetics, vol. 52, 2022, pp. 12623-12637.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329F. Ntelemis, Y. Jin, and S.A. Thomas, “Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, 2022, pp. 7461-7474.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978337Y. Tian, et al., “A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”, IEEE Transactions on Cybernetics, vol. 52, 2022, pp. 6784-6797.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978341Q. Liu, et al., “An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems”, IEEE Transactions on Cybernetics, vol. 52, 2022, pp. 2698-2711.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342D. Guo, et al., “Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, 2022, pp. 2084-2097.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343H. Zhu and Y. Jin, “Real-Time Federated Evolutionary Neural Architecture Search”, IEEE Transactions on Evolutionary Computation, vol. 26, 2022, pp. 364-378.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344J. Xu, et al., “Ternary Compression for Communication-Efficient Federated Learning”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, 2022, pp. 1162-1176.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978345W. Du, et al., “Searching for Robustness Intervals in Evolutionary Robust Optimization”, IEEE Transactions on Evolutionary Computation, vol. 26, 2022, pp. 58-72.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978347S. Qi, et al., “A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization”, Information Sciences, vol. 609, 2022, pp. 1601-1620.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978351R. Wang, et al., “FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels”, IEEE Transactions on Big Data, 2022, pp. 1-15.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978349X. Wang, et al., “Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks”, IEEE Transactions on Neural Networks and Learning Systems, 2022, pp. 1-12.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978350T. Wang, et al., “Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning”, Memetic Computing, vol. 14, 2022, pp. 3-17.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352Q. Chen, Y. Jin, and Y. Song, “Fault-tolerant adaptive tracking control of Euler-Lagrange systems – An echo state network approach driven by reinforcement learning”, Neurocomputing, vol. 484, 2022, pp. 109-116.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354
P. Brosnan, et al., “Non-linear and multi-domain modelling of a permanent magnet linear synchronous machine for free piston engine generators”, Energy Conversion and Management: X, vol. 14, 2022, : 100195.PUB | PDF | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978385Y. Tian, et al., “Evolutionary Large-Scale Multi-Objective Optimization: A Survey”, ACM Computing Surveys, vol. 54, 2022, pp. 1-34.PUB | DOI | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2978672G. Xie, et al., “FedMed-ATL: Misaligned unpaired brain image synthesis via affine transform loss”, Presented at the The 30th ACM International Conference on Multimedia (ACM MM 2022), Lisbon, Portugal, 2022.PUB
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2022 | Konferenzbeitrag | PUB-ID: 2978671Y. Hong, Y. Jin, and Y. Tang, “ Rethinking individual global max in cooperative multi-agent reinforcement learning”, Presented at the The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 2022.PUB
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963829Z. Liu, H. Wang, and Y. Jin, “Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization”, IEEE Transactions on Cybernetics , 2022.PUB | DOI | WoS | PubMed | Europe PMC
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963475H. Bai, et al., “Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping”, IEEE Transactions on Cybernetics , 2022.PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978359S. Wang, et al., “An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy”, Knowledge-Based Systems, vol. 234, 2021, : 107568.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978360A.R. Shirazi and Y. Jin, “Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation”, IEEE Transactions on Cognitive and Developmental Systems, vol. 13, 2021, pp. 818-826.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978361X. Wang, et al., “Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times”, Knowledge-Based Systems, vol. 227, 2021, : 107190.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959044X. Wang, et al., “Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times”, Evolutionary computation, vol. 30, 2021, pp. 221–251.PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978363D. Yazdani, et al., “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 630-650.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978362D. Yazdani, et al., “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 609-629.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978364F. Qian, et al., “Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing”, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, 2021, pp. 3294-3295.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978365S. Qin, et al., “Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 724-738.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978366S. Wang, J. Liu, and Y. Jin, “A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 419-432.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978370Y. Tian, et al., “Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks”, IEEE Transactions on Cybernetics, vol. 51, 2021, pp. 3115-3128.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978372H. Zhu, H. Zhang, and Y. Jin, “From federated learning to federated neural architecture search: a survey”, Complex & Intelligent Systems, vol. 7, 2021, pp. 639-657.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978374Y. Tian, et al., “A Coevolutionary Framework for Constrained Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 102-116.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978392H. Chen, et al., “Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions”, Briefings in Bioinformatics, vol. 22, 2021.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978367Y. Tian, et al., “A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 405-418.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368C. He, et al., “Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)”, IEEE Transactions on Cybernetics, vol. 51, 2021, pp. 3129-3142.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369C. He, et al., “Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 25, 2021, pp. 448-462.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436G. Yu, et al., “Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis”, IEEE Transactions on Cybernetics , 2021.PUB | DOI | WoS | PubMed | Europe PMC
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393L. Huang, et al., “Multiple-Solution Optimization Strategy for Multirobot Task Allocation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, 2020, pp. 4283-4294.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394Y. Chen, X. Sun, and Y. Jin, “Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, 2020, pp. 4229-4238.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395Y. Zhou, Y. Jin, and J. Ding, “Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines”, Neurocomputing, vol. 406, 2020, pp. 12-23.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397Y. Tian, et al., “Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 3696-3708.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396G. Yu, Y. Jin, and M. Olhofer, “Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 3531-3544.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398S. Wang, J. Liu, and Y. Jin, “Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding”, IEEE Transactions on Evolutionary Computation, vol. 24, 2020, pp. 735-749.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399H. Wang, et al., “Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm”, Applied Soft Computing, vol. 92, 2020, : 106276.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402X. Wang, et al., “An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization”, Information Sciences, vol. 519, 2020, pp. 317-331.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404X. Wang, Y. Jin, and K. Hao, “Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, 2020, pp. 1363-1374.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405H. Zhu and Y. Jin, “Multi-Objective Evolutionary Federated Learning”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, 2020, pp. 1310-1322.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406Y. Sun, et al., “Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor”, IEEE Transactions on Evolutionary Computation, vol. 24, 2020, pp. 350-364.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407Y. Tian, et al., “Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 1106-1119.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408X. Zhang, et al., “A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 703-716.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411Z. Yang, et al., “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 164-177.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412X. Wang, Y. Jin, and K. Hao, “A Gated Recurrent Unit based Echo State Network”, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020, pp.1-7.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413R. Fourati, et al., “EEG feature learning with Intrinsic Plasticity based Deep Echo State Network”, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020, pp.1-8.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414N. Naik, et al., “Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness”, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2020, pp.1146-1153.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415H. Chen, et al., “HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction”, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020, pp.1-8.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416P. Liao, et al., “Multi-surrogate multi-tasking optimization of expensive problems”, Knowledge-Based Systems, vol. 205, 2020, : 106262.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417S. Wang, J. Liu, and Y. Jin, “Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm”, IEEE Computational Intelligence Magazine, vol. 15, 2020, pp. 24-35.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418X. Wang, et al., “Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times”, Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20), New York, NY: ACM, 2020, pp.587-594.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403Y. Tian, et al., “An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, vol. 24, 2020, pp. 380-393.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420M. Rong, et al., “Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems”, IEEE Transactions on Cybernetics, vol. 49, 2019, pp. 3362-3374.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419C. He, et al., “Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 949-961.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421X. Peng, Y. Jin, and H. Wang, “Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization”, IEEE Transactions on Cybernetics, vol. 49, 2019, pp. 3507-3520.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422Y. Hua, Y. Jin, and K. Hao, “A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts”, IEEE Transactions on Cybernetics, vol. 49, 2019, pp. 2758-2770.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423D. Han, et al., “An adaptive decomposition-based evolutionary algorithm for many-objective optimization”, Information Sciences, vol. 491, 2019, pp. 204-222.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424X. Wang, Y. Jin, and K. Hao, “Echo state networks regulated by local intrinsic plasticity rules for regression”, Neurocomputing, vol. 351, 2019, pp. 111-122.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425C. Yang, et al., “Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes”, IEEE Transactions on Automation Science and Engineering, vol. 16, 2019, pp. 1046-1057.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427Y. Wang, et al., “Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection”, Applied Soft Computing, vol. 77, 2019, pp. 188-204.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428D. Guo, et al., “Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems”, IEEE Transactions on Cybernetics, vol. 49, 2019, pp. 1012-1025.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429Q. Fan, et al., “A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation”, Swarm and Evolutionary Computation, vol. 44, 2019, pp. 1-17.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430Y. Wang, et al., “A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction”, Information Sciences, vol. 474, 2019, pp. 106-124.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431M.G. Carneiro, et al., “Particle swarm optimization for network-based data classification”, Neural Networks, vol. 110, 2019, pp. 243-255.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433Y. Han, et al., “Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns”, IEEE Transactions on Cybernetics, vol. 49, 2019, pp. 184-197.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434W. Du, et al., “High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach”, IEEE Transactions on Industrial Informatics, vol. 15, 2019, pp. 293-304.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436Y. Zhou, Y. Jin, and J. Ding, “Evolutionary Optimization of Liquid State Machines for Robust Learning”, Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I, H. Lu, H. Tang, and Z. Wang, eds., Lecture Notes in Computer Science, vol. 11554, Cham: Springer International Publishing, 2019, pp.389-398.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437E. Andrés-Pérez, et al., “Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design”, Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems, E. Andrés-Pérez, et al., eds., Computational Methods in Applied Sciences, vol. 49, Cham: Springer International Publishing, 2019, pp.195-210.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448Z. Yang, Y. Jin, and K. Hao, “A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 675-688.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451Y. Tian, et al., “A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 331-345.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455Y. Jin, et al., “Data-Driven Evolutionary Optimization: An Overview and Case Studies”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 442-458.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463H. Wang, et al., “Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 203-216.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479X. Ye, et al., “A hybrid instance-intensive workflow scheduling method in private cloud environment”, Natural Computing, vol. 18, 2019, pp. 735-746.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482D.-J. Wang, F. Liu, and Y. Jin, “A proactive scheduling approach to steel rolling process with stochastic machine breakdown”, Natural Computing, vol. 18, 2019, pp. 679-694.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495J. Ding, et al., “Generalized Multitasking for Evolutionary Optimization of Expensive Problems”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 44-58.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503F. Guo, et al., “A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process”, Natural Computing, vol. 18, 2019, pp. 747-756.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461J. Tian, et al., “Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems”, IEEE Transactions on Evolutionary Computation, vol. 23, 2019, pp. 459-472.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432R. Jiao, et al., “A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization”, Information Sciences, vol. 471, 2019, pp. 80-96.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435J. Ding, et al., “Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2018, pp. 1-13.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438H. Wang, Y. Jin, and J. Doherty, “A Generic Test Suite for Evolutionary Multifidelity Optimization”, IEEE Transactions on Evolutionary Computation, vol. 22, 2018, pp. 836-850.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439S. Cui, et al., “An improved support vector machine-based diabetic readmission prediction”, Computer Methods and Programs in Biomedicine, vol. 166, 2018, pp. 123-135.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440Z. Xie and Y. Jin, “An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation”, IEEE Transactions on Cognitive and Developmental Systems, vol. 10, 2018, pp. 738-750.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441Y. Tian, et al., “An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility”, IEEE Transactions on Evolutionary Computation, vol. 22, 2018, pp. 609-622.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442H. Yu, et al., “Surrogate-assisted hierarchical particle swarm optimization”, Information Sciences, vol. 454-455, 2018, pp. 59-72.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444S. Gu, R. Cheng, and Y. Jin, “Feature selection for high-dimensional classification using a competitive swarm optimizer”, Soft Computing, vol. 22, 2018, pp. 811-822.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447Y. Jin, K. Miettinen, and H. Ishibuchi, “Guest Editorial Evolutionary Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 22, 2018, pp. 1-2.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467C. Sun, et al., “Semi-supervised learning assisted particle swarm optimization of computationally expensive problems”, Proceedings of the Genetic and Evolutionary Computation Conference, H. Aguirre, ed., New York, NY: ACM, 2018, pp.45-52.PUB | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457Z. Chen, et al., “Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection”, Neurocomputing, vol. 309, 2018, pp. 192-200.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453C. Sun, et al., “A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems”, Memetic Computing, vol. 10, 2018, pp. 123-134.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458H. Wang, J. Doherty, and Y. Jin, “Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization”, 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2018, pp.1-8.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460H. Oh, A.R. Shiraz, and Y. Jin, “Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots”, Soft Computing, vol. 22, 2018, pp. 1833-1844.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464C. Qian, et al., “On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments”, Evolutionary Computation, vol. 26, 2018, pp. 237-267.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465J. Lu, et al., “Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network”, IFAC-PapersOnLine, vol. 51, 2018, pp. 655-660.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469J.J. Doherty, H. Wang, and Y. Jin, “Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization”, 2018 Applied Aerodynamics Conference, Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018.PUB | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445X. Zhang, et al., “A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 22, 2018, pp. 97-112.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489Y. Jin and S. Kollias, “Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]”, IEEE Computational Intelligence Magazine, vol. 12, 2017, pp. 18-19.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454J. Tian, et al., “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization”, 2017 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2017, pp.1-8.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456S.A. Thomas, et al., “Enhancing classification of mass spectrometry imaging data with deep neural networks”, 2017 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2017, pp.1-8.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462M.G. Carneiro, et al., “Nature-Inspired Graph Optimization for Dimensionality Reduction”, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, 2017, pp.1113-1119.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468C. Yang, et al., “Two-stage assortative mating for multi-objective multifactorial evolutionary optimization”, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), IEEE, 2017, pp.76-81.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470J. Chrol-Cannon, Y. Jin, and A. Grüning, “An efficient method for online detection of polychronous patterns in spiking neural networks”, Neurocomputing, vol. 267, 2017, pp. 644-650.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471R. Cheng, et al., “Test Problems for Large-Scale Multiobjective and Many-Objective Optimization”, IEEE Transactions on Cybernetics, vol. 47, 2017, pp. 4108-4121.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472Y. Liu, et al., “A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy”, IEEE Transactions on Cybernetics, vol. 47, 2017, pp. 2689-2702.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474S. Gu and Y. Jin, “Multi-train: A semi-supervised heterogeneous ensemble classifier”, Neurocomputing, vol. 249, 2017, pp. 202-211.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498Y. Jin and J. Ding, “Special issue on “Data-driven evolutionary optimization””, Soft Computing, vol. 21, 2017, pp. 5867-5868.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499R. Allmendinger, et al., “Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case”, Journal of Multi-Criteria Decision Analysis, vol. 24, 2017, pp. 5-24.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500Y. Jin, J. Ding, and Y. Ding, “Thematic issue on “bio-inspired learning for data analysis””, Memetic Computing, vol. 9, 2017, pp. 1-2.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476H. Wang, Y. Jin, and X. Yao, “Diversity Assessment in Many-Objective Optimization”, IEEE Transactions on Cybernetics, vol. 47, 2017, pp. 1510-1522.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477A.R. Shirazi and Y. Jin, “A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, 2017, pp. 326-338.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480Y. Huang, et al., “A multi-objective approach to robust optimization over time considering switching cost”, Information Sciences, vol. 394-395, 2017, pp. 183-197.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481D.-J. Wang, F. Liu, and Y. Jin, “A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling”, Computers & Operations Research, vol. 79, 2017, pp. 279-290.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483C. He, et al., “A radial space division based evolutionary algorithm for many-objective optimization”, Applied Soft Computing, vol. 61, 2017, pp. 603-621.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484
J. Liu, et al., “A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps”, BMC Bioinformatics, vol. 18, 2017, : 241.PUB | PDF | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486N. Naik, et al., “Augmented windows fuzzy firewall for preventing denial of service attack”, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2017, pp.1-6.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487H. Oh, et al., “Bio-inspired self-organising multi-robot pattern formation: A review”, Robotics and Autonomous Systems, vol. 91, 2017, pp. 83-100.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488W.A. Albukhanajer, Y. Jin, and J.A. Briffa, “Classifier ensembles for image identification using multi-objective Pareto features”, Neurocomputing, vol. 238, 2017, pp. 316-327.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491H. Wang and Y. Jin, “Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization”, 2017 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2017, pp.649-656.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493G. Yao, et al., “Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system”, Soft Computing, vol. 21, 2017, pp. 4309-4322.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494R. Cheng, et al., “Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, 2017, pp. 97-111.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496X. Zhang, et al., “Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]”, IEEE Computational Intelligence Magazine, vol. 12, 2017, pp. 43-53.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497Y. Tian, et al., “PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]”, IEEE Computational Intelligence Magazine, vol. 12, 2017, pp. 73-87.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501X. Ye, et al., “User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm”, Knowledge-Based Systems, vol. 135, 2017, pp. 113-124.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475C. Sun, et al., “Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems”, IEEE Transactions on Evolutionary Computation, vol. 21, 2017, pp. 644-660.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473H. Wang, Y. Jin, and J. Doherty, “Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems”, IEEE Transactions on Cybernetics, vol. 47, 2017, pp. 2664-2677.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485U. Yolcu, Y. Jin, and E. Egrioglu, “An ensemble of single multiplicative neuron models for probabilistic prediction”, 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2016, pp.1-8.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490J. Hakanen, et al., “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms”, 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2016, pp.1-8.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492X. Zhang, et al., “Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization”, 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2016, pp.1-8.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502R. Cheng, et al., “A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 20, 2016, pp. 773-791.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504X. Peng, K. Liu, and Y. Jin, “A dynamic optimization approach to the design of cooperative co-evolutionary algorithms”, Knowledge-Based Systems, vol. 109, 2016, pp. 174-186.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505Y. Tian, et al., “A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric”, 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2016, pp.5222-5229.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506X. Zhang, Y. Tian, and Y. Jin, “Approximate non-dominated sorting for evolutionary many-objective optimization”, Information Sciences, vol. 369, 2016, pp. 14-33.PUB | DOI | Download (ext.)
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2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508S. Cheng, et al., “Evolutionary Computation and Big Data: Key Challenges and Future Directions”, Data Mining and Big Data, Y. Tan and Y. Shi, eds., Lecture Notes in Computer Science, Cham: Springer International Publishing, 2016, pp.3-14.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512Y. Ding, et al., “Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes”, Information Sciences, vol. 342, 2016, pp. 81-95.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513H. He, et al., “Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection”, 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2016, pp.1022-1029.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514M.-H. Yusoff, J. Chrol-Cannon, and Y. Jin, “Modeling neural plasticity in echo state networks for classification and regression”, Information Sciences, vol. 364-365, 2016, pp. 184-196.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517
R. Cerri, et al., “Reduction strategies for hierarchical multi-label classification in protein function prediction”, BMC Bioinformatics, vol. 17, 2016, : 373.PUB | PDF | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518Y. Jin, et al., “Reference point based prediction for evolutionary dynamic multiobjective optimization”, 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2016, pp.3769-3776.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519A. Rahat, et al., “Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization”, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, T. Friedrich, ed., New York, NY, USA: ACM, 2016, pp.1265-1266.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520H. He, et al., “The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence”, 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2016, pp.1015-1021.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521C. Brown, et al., “$$\mu $$ μ JADE: adaptive differential evolution with a small population”, Soft Computing, vol. 20, 2016, pp. 4111-4120.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515M.G. Carneiro, et al., “Network structural optimization based on swarm intelligence for highlevel classification”, 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, 2016, pp.3737-3744.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509Y. Han, et al., “Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time”, Applied Soft Computing, vol. 42, 2016, pp. 229-245.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510C. Sun, et al., “Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems”, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, T. Friedrich, F. Neumann, and A.M. Sutton, eds., New York, NY, USA: ACM, 2016, pp.1277-1278.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526R. Cheng, et al., “A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling”, IEEE Transactions on Evolutionary Computation, vol. 19, 2015, pp. 838-856.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511I.-C. Wu, et al., “General chairs and program chairs message”, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), IEEE, 2015, pp.13-14.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522T. Zhang, et al., “A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production”, Soft Computing, vol. 19, 2015, pp. 1523-1540.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523Y. Wu, Y. Jin, and X. Liu, “A directed search strategy for evolutionary dynamic multiobjective optimization”, Soft Computing, vol. 19, 2015, pp. 3221-3235.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525D.-J. Wang, et al., “A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect”, Knowledge-Based Systems, vol. 90, 2015, pp. 70-80.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527R. Cheng and Y. Jin, “A social learning particle swarm optimization algorithm for scalable optimization”, Information Sciences, vol. 291, 2015, pp. 43-60.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528C. Sun, et al., “A two-layer surrogate-assisted particle swarm optimization algorithm”, Soft Computing, vol. 19, 2015, pp. 1461-1475.PUB | DOI | Download (ext.)
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529R. Cheng, Y. Jin, and K. Narukawa, “Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts”, Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I, A. Gaspar-Cunha, C. Henggeler Antunes, and C.C. Coello, eds., Lecture Notes in Computer Science, vol. 9018, Cham: Springer International Publishing, 2015, pp.127-140.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530Y. Jin, et al., “An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks”, Soft Computing, vol. 19, 2015, pp. 1427-1441.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532T. Rahman, et al., “Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses”, Bioinformatics, vol. 31, 2015, pp. 834-840.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536J. Chrol-Cannon and Y. Jin, “Learning structure of sensory inputs with synaptic plasticity leads to interference”, Frontiers in Computational Neuroscience, vol. 9, 2015.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537S. Gu, R. Cheng, and Y. Jin, “Multi-objective ensemble generation”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 5, 2015, pp. 234-245.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538Y. Huang, Y. Jin, and Y. Ding, “New performance indicators for robust optimization over time”, 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2015, pp.1380-1387.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540R. Cheng, M. Olhofer, and Y. Jin, “Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization”, 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2015, pp.939-946.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541B. Yang, et al., “Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis”, Robotics and Autonomous Systems, vol. 72, 2015, pp. 83-92.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542Y. Jin, “Special issue on UKCI 2013”, Soft Computing, vol. 19, 2015, pp. 1443-1444.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543W.A. Albukhanajer, Y. Jin, and J.A. Briffa, “Trade-off between computational complexity and accuracy in evolutionary image feature extraction”, 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2015, pp.2412-2419.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548S. Xue, et al., “Effect of Communication Modes to Swarm Robotic Search”, The Open Electrical & Electronic Engineering Journal, vol. 8, 2014, pp. 240-244.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533S. Gu and Y. Jin, “Generating diverse and accurate classifier ensembles using multi-objective optimization”, 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), IEEE, 2014, pp.9-15.PUB | DOI | Download (ext.)
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544H. Oh and Y. Jin, “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks”, Advances in Autonomous Robotics Systems, M. Mistry, et al., eds., Lecture Notes in Computer Science, Cham: Springer International Publishing, 2014, pp.197-208.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545Z.-H. Zhou, et al., “Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]”, IEEE Computational Intelligence Magazine, vol. 9, 2014, pp. 62-74.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546J. Chrol-Cannon and Y. Jin, “Computational modeling of neural plasticity for self-organization of neural networks”, Biosystems, vol. 125, 2014, pp. 43-54.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547R. Cheng and Y. Jin, “Demonstrator selection in a social learning particle swarm optimizer”, 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, pp.3103-3110.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549C. Smith and Y. Jin, “Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction”, Neurocomputing, vol. 143, 2014, pp. 302-311.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551Y. Jin, “IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]”, IEEE Computational Intelligence Magazine, vol. 9, 2014, pp. 9-10.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550H. Oh and Y. Jin, “Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots”, 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, pp.776-783.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552M.-H. Yusoff and Y. Jin, “Modeling neural plasticity in echo state networks for time series prediction”, 2014 14th UK Workshop on Computational Intelligence (UKCI), IEEE, 2014, pp.1-7.PUB | DOI | Download (ext.)
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553A. Ramezan Shirazi, H. Oh, and Y. Jin, “Morphogenetic Self-Organization of Collective Movement without Directional Sensing”, Advances in Autonomous Robotics Systems, M. Mistry, et al., eds., Lecture Notes in Computer Science, Cham: Springer International Publishing, 2014, pp.139-150.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554C. Smith, J. Doherty, and Y. Jin, “Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations”, 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, pp.2609-2616.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555W.A. Albukhanajer, Y. Jin, and J.A. Briffa, “Neural network ensembles for image identification using Pareto-optimal features”, 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, pp.89-96.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556
J. Chrol-Cannon and Y. Jin, “On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity”, PLoS ONE, vol. 9, 2014, : e101792.PUB | PDF | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557S.A. Thomas and Y. Jin, “Reconstructing biological gene regulatory networks: where optimization meets big data”, Evolutionary Intelligence, vol. 7, 2014, pp. 29-47.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558T. Liu, et al., “Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems”, 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, pp.640-646.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559W.A. Albukhanajer, et al., “A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction”, Evolutionary Multi-Criterion Optimization, R.C. Purshouse, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.573-586.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560Y. Jin, et al., “A framework for finding robust optimal solutions over time”, Memetic Computing, vol. 5, 2013, pp. 3-18.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561Y. Meng, H. Guo, and Y. Jin, “A morphogenetic approach to flexible and robust shape formation for swarm robotic systems”, Robotics and Autonomous Systems, vol. 61, 2013, pp. 25-38.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562C. Sun, et al., “A new fitness estimation strategy for particle swarm optimization”, Information Sciences, vol. 221, 2013, pp. 355-370.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563J. Chen, et al., “A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process”, Fibers and Polymers, vol. 14, 2013, pp. 1722-1730.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564J. Lu, et al., “An evolution strategy assisted by an ensemble of local Gaussian process models”, Proceedings of the 15th annual conference on Genetic and evolutionary computation, C. Blum, ed., New York, NY, USA: ACM, 2013, pp.447-454.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565G. Jia, et al., “An improved (μ+λ)-constrained differential evolution for constrained optimization”, Information Sciences, vol. 222, 2013, pp. 302-322.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566M.N. Le, et al., “Evolution by Adapting Surrogates”, Evolutionary Computation, vol. 21, 2013, pp. 313-340.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567T. Chai, Y. Jin, and B. Sendhoff, “Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]”, IEEE Computational Intelligence Magazine, vol. 8, 2013, pp. 12-15.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568A. Xiao, B. Wang, and Y. Jin, “Evolutionary truss layout optimization using the vectorized structure approach”, 2013 IEEE Congress on Evolutionary Computation, IEEE, 2013, pp.2879-2886.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569S.P.E.N.C.E.R.A.N.G.U.S. THOMAS and Y. Jin, “EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS”, Journal of Bioinformatics and Computational Biology, vol. 11, 2013, : 1341001.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571L. Zhuang, K. Tang, and Y. Jin, “Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient”, Intelligent Data Engineering and Automated Learning – IDEAL 2013, H. Yin, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.366-375.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572S.A. Thomas, et al., “Reconstructing regulatory networks in Streptomyces using evolutionary algorithms”, 2013 13th UK Workshop on Computational Intelligence (UKCI), IEEE, 2013, pp.24-30.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573C. Smith, J. Doherty, and Y. Jin, “Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization”, 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), IEEE, 2013, pp.9-16.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575R. Cheng and Y. Jin, “Simulating swarm behaviuors for optimisation by learning from neighbours”, 2013 13th UK Workshop on Computational Intelligence (UKCI), IEEE, 2013, pp.82-87.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576S.A. Thomas and Y. Jin, “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators”, Evolutionary Multi-Criterion Optimization, R.C. Purshouse, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.696-709.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574C. Sun, et al., “Similarity-based evolution control for fitness estimation in particle swarm optimization”, Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), IEEE, 2013, pp.1-8.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577Y. Jin, “2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]”, IEEE Computational Intelligence Magazine, vol. 7, 2012, pp. 17-17.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578J. Yin, Y. Meng, and Y. Jin, “A Developmental Approach to Structural Self-Organization in Reservoir Computing”, IEEE Transactions on Autonomous Mental Development, vol. 4, 2012, pp. 273-289.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579H. Guo, Y. Jin, and Y. Meng, “A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage”, ACM Transactions on Autonomous and Adaptive Systems, vol. 7, 2012, pp. 1-23.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580M.N. Le, et al., “A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design”, IEEE Computational Intelligence Magazine, vol. 7, 2012, pp. 20-35.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581D. Bush and Y. Jin, “Calcium control of triphasic hippocampal STDP”, Journal of Computational Neuroscience, vol. 33, 2012, pp. 495-514.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582S.A. Thomas and Y. Jin, “Combining genetic oscillators and switches using evolutionary algorithms”, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, 2012, pp.28-34.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583S. Doncieux, et al., “Evo-devo-robo workshop program”, Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, T. Soule, ed., New York, NY, USA: ACM, 2012, pp.355-356.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584L. Schramm, Y. Jin, and B. Sendhoff, “Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration”, Artificial Life, vol. 18, 2012, pp. 425-444.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585W.A. Albukhanajer, et al., “Evolutionary multi-objective optimization of trace transform for invariant feature extraction”, 2012 IEEE Congress on Evolutionary Computation, IEEE, 2012, pp.1-8.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586S. Gu and Y. Jin, “Heterogeneous classifier ensembles for EEG-based motor imaginary detection”, 2012 12th UK Workshop on Computational Intelligence (UKCI), IEEE, 2012, pp.1-8.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587L. Schramm, Y. Jin, and B. Sendhoff, “Quantitative analysis of redundancy in evolution of developmental systems”, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, 2012, pp.61-68.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588J. Chrol-Cannon, A. Gruning, and Y. Jin, “The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities”, The 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, 2012, pp.1-6.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589Y. Meng, H. Guo, and Y. Jin, “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems”, New Horizons in Evolutionary Robotics, S. Doncieux, N. Bredèche, and J.-B. Mouret, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.123-137.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590Y. Meng, Y. Zhang, and Y. Jin, “Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model”, IEEE Computational Intelligence Magazine, vol. 6, 2011, pp. 43-54.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591Y. Meng, et al., “Cross-Ball: A new morphogenetic self-reconfigurable modular robot”, 2011 IEEE International Conference on Robotics and Automation, IEEE, 2011, pp.267-272.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592L. Schramm, Y. Jin, and B. Sendhoff, “Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats”, Advances in Artificial Life. Darwin Meets von Neumann, G. Kampis, I. Karsai, and E. Szathmáry, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.27-34.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594Y. Jin, et al., “Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development”, IEEE Transactions on Autonomous Mental Development, vol. 3, 2011, pp. 273-275.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593Y. Jin and Y. Meng, “Emergence of robust regulatory motifs from in silico evolution of sustained oscillation”, Biosystems, vol. 103, 2011, pp. 38-44.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595A.M. Tyrrell and Y. Jin, “Guest Editorial: Special Issue on Evolving Developmental Systems”, IEEE Transactions on Evolutionary Computation, vol. 15, 2011, pp. 285-286.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596Y. Jin and Y. Meng, “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems”, Bio-Inspired Self-Organizing Robotic Systems, Y. Meng and Y. Jin, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.3-23.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597Y. Jin and Y. Meng, “Morphogenetic Robotics: An Emerging New Field in Developmental Robotics”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 41, 2011, pp. 145-160.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598Y. Meng and Y. Jin, “Morphogenetic Self-Reconfiguration of Modular Robots”, Bio-Inspired Self-Organizing Robotic Systems, Y. Meng and Y. Jin, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.143-171.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599M. Liu, S. Zhang, and Y. Jin, “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”, Neural Networks, vol. 24, 2011, pp. 280-290.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600Y. Zheng, Y. Meng, and Y. Jin, “Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways”, Neurocomputing, vol. 74, 2011, pp. 3158-3169.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601L. Schramm, Y. Jin, and B. Sendhoff, “Redundancy creates opportunity in developmental representations”, 2011 IEEE Symposium on Artificial Life (ALIFE), IEEE, 2011, pp.203-210.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602E. Gehrmann, et al., “Robustness of glycolysis in yeast to internal and external noise”, Physical Review E, vol. 84, 2011, : 021913.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603Y. Jin, “Surrogate-assisted evolutionary computation: Recent advances and future challenges”, Swarm and Evolutionary Computation, vol. 1, 2011, pp. 61-70.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604H. Guo, Y. Meng, and Y. Jin, “Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm”, 2011 IEEE International Conference on Robotics and Automation, IEEE, 2011, pp.3205-3210.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605B. Jones, et al., “The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism”, Advances in Artificial Life. Darwin Meets von Neumann, G. Kampis, I. Karsai, and E. Szathmáry, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.18-26.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606Y. Jin and J. Trommler, “A fitness-independent evolvability measure for evolutionary developmental systems”, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, IEEE, 2010, pp.1-8.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607Y. Jin, Y. Meng, and H. Guo, “A morphogenetic self-organization algorithm for swarm robotic systems using relative position information”, 2010 UK Workshop on Computational Intelligence (UKCI), IEEE, 2010, pp.1-6.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608H. Guo, Y. Meng, and Y. Jin, “Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system”, IEEE Congress on Evolutionary Computation, IEEE, 2010, pp.1-8.PUB | DOI | Download (ext.)
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2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609B. Jones, et al., “Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat”, From Animals to Animats 11, S. Doncieux, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp.587-596.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610T. Steiner, et al., “Evolving heterochrony for cellular differentiation using vector field embryogeny”, Proceedings of the 12th annual conference on Genetic and evolutionary computation, New York, NY, USA: ACM, 2010, pp.571-578.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611Y. Zheng, Y. Meng, and Y. Jin, “Fusing bottom-up and top-down pathways in neural networks for visual object recognition”, The 2010 International Joint Conference on Neural Networks (IJCNN), IEEE, 2010, pp.1-8.PUB | DOI | Download (ext.)
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612Y. Jin and Y. Meng, “Special Issue on Evolutionary and Developmental Robotics [Guest Editorial”, IEEE Computational Intelligence Magazine, vol. 5, 2010, pp. 9-9.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613Y. Meng, et al., “Human activity detection using spiking neural networks regulated by a gene regulatory network”, The 2010 International Joint Conference on Neural Networks (IJCNN), IEEE, 2010, pp.1-6.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615Y. Jin, S. Oh, and M. Jeon, “Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization”, IEEE Congress on Evolutionary Computation, IEEE, 2010, pp.1-8.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617X. Yu, et al., “Robust optimization over time — A new perspective on dynamic optimization problems”, IEEE Congress on Evolutionary Computation, IEEE, 2010, pp.1-6.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618H. Guo, Y. Meng, and Y. Jin, “A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network”, Biosystems, vol. 98, 2009, pp. 193-203.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619Y. Jin, L. Schramm, and B. Sendhoff, “A Gene Regulatory Model for the Development of Primitive Nervous Systems”, Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I, M. Köppen, N. Kasabov, and G. Coghill, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp.48-55.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620Y. Jin and B. Sendhoff, “A systems approach to evolutionary multiobjective structural optimization and beyond”, IEEE Computational Intelligence Magazine, vol. 4, 2009, pp. 62-76.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621T. Okabe, Y. Jin, and B. Sendhoff, “Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching”, Multi-Objective Memetic Algorithms, C.-K. Goh, Y.-S. Ong, and K.C. Tan, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp.281-307.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622Y. Jin and B. Sendhoff, “Corrections to “Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies” [May 08 397-415]”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 39, 2009, pp. 373-373.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623B. Jones, et al., “Evolution of Neural Organization in a Hydra-Like Animat”, Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I, M. Köppen, N. Kasabov, and G. Coghill, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp.216-223.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624Y. Jin, et al., “Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations”, 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, IEEE, 2009, pp.38-45.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625Y. Jin and J. Hallinan, “Evolving gene regulatory networks”, Biosystems, vol. 98, 2009, pp. vi-vii.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626Y. Jin and B. Sendhoff, “Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks”, Fuzzy Systems in Bioinformatics and Computational Biology, Y. Jin and L. Wang, eds., Studies in Fuzziness and Soft Computing, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp.315-327.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627T. Steiner, et al., “Global shape with morphogen gradients and motile polarized cells”, 2009 IEEE Congress on Evolutionary Computation, IEEE, 2009, pp.2225-2232.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628Y. Jin, Y. Meng, and B. Sendhoff, “Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks”, 2009 IEEE Symposium on Artificial Life, IEEE, 2009, pp.61-68.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629M.N. Le, et al., “Lamarckian memetic algorithms: local optimum and connectivity structure analysis”, Memetic Computing, vol. 1, 2009, pp. 175-190.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630M. Meeter, R. Veldkamp, and Y. Jin, “Multiple memory stores and operant conditioning: A rationale for memory’s complexity”, Brain and Cognition, vol. 69, 2009, pp. 200-208.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631Y. Jin, R. Gruna, and B. Sendhoff, “Pareto analysis of evolutionary and learning systems”, Frontiers of Computer Science in China, vol. 3, 2009, pp. 4-17.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632Y. Jin, H. Guo, and Y. Meng, “Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System”, 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, IEEE, 2009, pp.154-164.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633H. Guo, Y. Meng, and Y. Jin, “Self-adaptive multi-robot construction using gene regulatory networks”, 2009 IEEE Symposium on Artificial Life, IEEE, 2009, pp.53-60.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634
T. Steiner, Y. Jin, and B. Sendhoff, “Vector Field Embryogeny”, PLoS ONE, vol. 4, 2009, : e8177.PUB | PDF | DOI | Download (ext.)
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636A. Zhou, et al., “Combination of EDA and DE for continuous biobjective optimization”, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), IEEE, 2008, pp.1447-1454.PUB | DOI | Download (ext.)
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637Q. Zhang, A. Zhou, and Y. Jin, “Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]”, IEEE Transactions on Evolutionary Computation, vol. 12, 2008, pp. 392-392.PUB | DOI | Download (ext.)
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638D. Lim, et al., “Evolutionary Optimization with Dynamic Fidelity Computational Models”, Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings, D.-S. Huang, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2008, pp.235-242.PUB | DOI | Download (ext.)
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639Y. Jin, B. Sendhoff, and E. Körner, “Rule Extraction from Compact Pareto-optimal Neural Networks”, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, A. Ghosh, S. Dehuri, and S. Ghosh, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2008, pp.71-90.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640D. Lim, et al., “A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation”, Proceedings of the 9th annual conference on Genetic and evolutionary computation, New York, NY, USA: ACM, 2007, pp.1288-1295.PUB | DOI | Download (ext.)
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641D. Lim, et al., “Efficient Hierarchical Parallel Genetic Algorithms using Grid computing”, Future Generation Computer Systems, vol. 23, 2007, pp. 658-670.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642T. Steiner, et al., “Emergence of feedback in artificial gene regulatory networks”, 2007 IEEE Congress on Evolutionary Computation, IEEE, 2007, pp.867-874.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643A. Zhou, et al., “Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover”, Proceedings of the 9th annual conference on Genetic and evolutionary computation, New York, NY, USA: ACM, 2007, pp.617-623.PUB | DOI | Download (ext.)
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644L. Gräning, Y. Jin, and B. Sendhoff, “Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization”, Evolutionary Computation in Dynamic and Uncertain Environments, S. Yang, Y.-S. Ong, and Y. Jin, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp.225-250.PUB | DOI | Download (ext.)
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645D. Lim, et al., “Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty”, Evolutionary Computation in Dynamic and Uncertain Environments, S. Yang, Y.-S. Ong, and Y. Jin, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp.437-456.PUB | DOI | Download (ext.)
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2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646H. Wang, et al., “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems”, Multi-Objective Machine Learning, Y. Jin, ed., Studies in Computational Intelligence, Berlin/Heidelberg: Springer-Verlag, 2006, pp.339-364.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647S. Yang, Y.-S. Ong, and Y. Jin, “Editorial to special issue on evolutionary computation in dynamic and uncertain environments”, Genetic Programming and Evolvable Machines, vol. 7, 2006, pp. 293-294.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648J. Branke and Y. Jin, “Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty”, IEEE Transactions on Evolutionary Computation, vol. 10, 2006, pp. 377-379.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649D. Lim, et al., “Inverse multi-objective robust evolutionary design”, Genetic Programming and Evolvable Machines, vol. 7, 2006, pp. 383-404.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650K. Foli, et al., “Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms”, International Journal of Heat and Mass Transfer, vol. 49, 2006, pp. 1090-1099.PUB | DOI | Download (ext.)
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2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651Y. Jin, B. Sendhoff, and E. Körner, “Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers”, Multi-Objective Machine Learning, Y. Jin, ed., Studies in Computational Intelligence, Berlin/Heidelberg: Springer-Verlag, 2006, pp.289-312.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652H. Wang, et al., “Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction”, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 35, 2005, pp. 143-155.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653Y. Jin and J. Branke, “Evolutionary Optimization in Uncertain Environments—A Survey”, IEEE Transactions on Evolutionary Computation, vol. 9, 2005, pp. 303-317.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654Y. Jin, “Guest Editorial Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation”, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 35, 2005, pp. 129-130.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655H. Wang, et al., “Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction”, Fuzzy Sets and Systems, vol. 149, 2005, pp. 149-186.PUB | DOI | Download (ext.)
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656Y. Jin and B. Sendhoff, “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles”, Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I, K. Deb, ed., Lecture Notes in Computer Science, vol. 3102, Berlin, Heidelberg: Springer, 2004, pp.688-699.PUB | DOI
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2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657Y. Jin, T. Okabe, and B. Sendhoff, “Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis”, Genetic and Evolutionary Computation — GECCO 2003, E. Cantú-Paz, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp.636-637.PUB | DOI | Download (ext.)
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2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658Y. Jin and B. Sendhoff, “Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach”, Evolutionary Multi-Criterion Optimization, C.M. Fonseca, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp.237-251.PUB | DOI | Download (ext.)
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2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659Y. Jin, “Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement”, IEEE Transactions on Fuzzy Systems, vol. 8, 2000, pp. 212-221.PUB | DOI | Download (ext.)
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1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660Y. Jin and W. von Seelen, “Evaluating flexible fuzzy controllers via evolution strategies”, Fuzzy Sets and Systems, vol. 108, 1999, pp. 243-252.PUB | DOI | Download (ext.)
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1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661Y. Jin, J. Jiang, and J. Zhu, “Adaptive fuzzy modelling and identification with its applications”, International Journal of Systems Science, vol. 26, 1995, pp. 197-212.PUB | DOI | Download (ext.)
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1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684Y. Jin, J. Jiang, and J. Zhu, “Neural network based fuzzy identification and its application to modeling and control of complex systems”, IEEE Transactions on Systems, Man, and Cybernetics, vol. 25, 1995, pp. 990-997.PUB | DOI | Download (ext.)