442 Publikationen
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103Wu, H., et al., 2024. 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, , p 1-16.PUB | DOI
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419Wu, H., et al., 2024. A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. IEEE Transactions on Emerging Topics in Computational Intelligence, , p 1-15.PUB | DOI
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780Xie, G., et al., 2023. Tiny adversarial multi-objective one-shot neural architecture search. Complex & Intelligent Systems, 9.PUB | PDF | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124Yang, C., et al., 2023. A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evolutionary Computation , 31(4), p 433-458.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612Liu, J., & Jin, Y., 2023. A comprehensive survey of robust deep learning in computer vision. Journal of Automation and Intelligence.PUB | PDF | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444Jiang, H., et al., 2023. Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems. IEEE Transactions on Cybernetics .PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615Wu, L., Jin, Y., & Hao, K., 2023. Optimized compressed sensing for communication efficient federated learning. Knowledge-Based Systems, : 110805.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658Wang, X., et al., 2023. Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Transactions on Systems, Man, and Cybernetics: Systems, , p 1-13.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810Wang, R., et al., 2023. An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Applied Soft Computing, 145: 110590.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362Ma, L., et al., 2023. 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, , p 1-14.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804Li, H., et al., 2023. A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Transactions on Emerging Topics in Computational Intelligence, , p 1-14.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326Qin, S., et al., 2023. A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982169Yazdani, D., et al., 2023. Robust Optimization Over Time: A Critical Review. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136Wang, S., Ding, B., & Jin, Y., 2023. A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem. IEEE Computational Intelligence Magazine, 18(3), p 41-53.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584Wu, Y., et al., 2023. Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments. IEEE Transactions on Evolutionary Computation, 27(3), p 686-700.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947Song, Z., Wang, H., & Jin, Y., 2023. A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, , p 1-13.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307Guo, H., et al., 2023. DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. IEEE Transactions on Neural Networks and Learning Systems, , p 1-14.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978720Yang, S., et al., In Press. Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites. Neurocomputing, : 126240.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320Zhang, X., et al., 2023. Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Information Sciences, 636: 118927.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978768Ntelemis, F., Jin, Y., & Thomas, S.A., 2023. A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. IEEE Transactions on Neural Networks and Learning Systems, , p 1-15.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979669Zhu, H., Wang, X., & Jin, Y., 2023. Federated Many-Task Bayesian Optimization. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978681Guo, H., et al., 2023. DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems. IEEE Intelligent Transportation Systems Magazine, , p 2-19.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978322Yang, Z., et al., 2023. A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System. IEEE Internet of Things Journal, 10(7), p 6193-6204.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978328Lei, T., et al., 2023. Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61, p 1-14.PUB | PDF | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978321Wang, X., & Jin, Y., 2023. Personalized Bayesian optimization for noisy problems. Complex & Intelligent Systems.PUB | DOI | Download (ext.) | WoS
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978327Lu, Z., et al., 2023. Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382Xiao, Y., Jin, Y., & Hao, K., 2023. Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification. IEEE Transactions on Neural Networks and Learning Systems, 34(3), p 1406-1417.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978348Chen, M., et al., 2023. An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems. Complex & Intelligent Systems, 9(1), p 659-675.PUB | PDF | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978325Hou, Y., et al., 2023. A Multi-agent Cooperative Learning System with Evolution of Social Roles. IEEE Transactions on Evolutionary Computation, , p 1-14.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323Tian, Y., et al., 2023. Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. IEEE Transactions on Artificial Intelligence, 4(2), p 268-281.PUB | DOI | Download (ext.)
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2023 | Konferenzbeitrag | PUB-ID: 2978670Liu, S., Wang, X., & Jin, Y., 2023. Federated Bayesian for privacy-preserving neural architecture search. Presented at the Congress on Evolutionary Computation, Chicago, IL, USA.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2978333Liao, P., Jin, Y., & Du, W., 2023. 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.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2978539Xie, G., et al., 2023. Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. Presented at the The Eleventh International Conference on Learning Representations (ICLR 2023)PUB
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969525Wang, S., Jin, Y., & Cai, M., 2023. Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm. IEEE Transactions on Systems, Man, and Cybernetics: Systems .PUB | DOI | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978353He, C., et al., 2022. Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978346Chen, M., et al., 2022. A Decomposition Method for Both Additively and Non-additively Separable Problems. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978355Gu, H., Wang, H., & Jin, Y., 2022. Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization. IEEE Transactions on Evolutionary Computation, , p 1-1.PUB | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332Wang, X., Jin, Y., & Hao, K., 2022. Computational Modeling of Structural Synaptic Plasticity in Echo State Networks. IEEE Transactions on Cybernetics, 52(10), p 11254-11266.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978334Yang, S., et al., 2022. A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 33(9), p 4861-4875.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978335Tian, Y., et al., 2022. Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Transactions on Cognitive and Developmental Systems, 14(3), p 1129-1142.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978336Tian, Y., et al., 2022. Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Transactions on Cybernetics, 52(9), p 9559-9572.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978338Liu, Y., Liu, J., & Jin, Y., 2022. Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(7), p 4671-4684.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339Xiang, X., et al., 2022. A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems. IEEE Transactions on Intelligent Transportation Systems, 23(6), p 5275-5286.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978340Liu, J., et al., 2022. A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), p 3360-3375.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331Wang, X., et al., 2022. An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 26(5), p 859-871.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330Wang, S., et al., 2022. Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis. IEEE Transactions on Cybernetics, 52(12), p 12623-12637.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329Ntelemis, F., Jin, Y., & Thomas, S.A., 2022. Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. IEEE Transactions on Neural Networks and Learning Systems, 33(12), p 7461-7474.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978337Tian, Y., et al., 2022. A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Transactions on Cybernetics, 52(7), p 6784-6797.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978341Liu, Q., et al., 2022. An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. IEEE Transactions on Cybernetics, 52(5), p 2698-2711.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342Guo, D., et al., 2022. 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, 52(4), p 2084-2097.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343Zhu, H., & Jin, Y., 2022. Real-Time Federated Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation, 26(2), p 364-378.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344Xu, J., et al., 2022. Ternary Compression for Communication-Efficient Federated Learning. IEEE Transactions on Neural Networks and Learning Systems, 33(3), p 1162-1176.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978345Du, W., et al., 2022. Searching for Robustness Intervals in Evolutionary Robust Optimization. IEEE Transactions on Evolutionary Computation, 26(1), p 58-72.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978347Qi, S., et al., 2022. A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. Information Sciences, 609, p 1601-1620.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978351Wang, R., et al., 2022. FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels. IEEE Transactions on Big Data, , p 1-15.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978349Wang, X., et al., 2022. Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. IEEE Transactions on Neural Networks and Learning Systems, , p 1-12.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978350Wang, T., et al., 2022. Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. Memetic Computing, 14(1), p 3-17.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352Chen, Q., Jin, Y., & Song, Y., 2022. Fault-tolerant adaptive tracking control of Euler-Lagrange systems – An echo state network approach driven by reinforcement learning. Neurocomputing, 484, p 109-116.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354Brosnan, P., et al., 2022. Non-linear and multi-domain modelling of a permanent magnet linear synchronous machine for free piston engine generators. Energy Conversion and Management: X, 14: 100195.PUB | PDF | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978385Tian, Y., et al., 2022. Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Computing Surveys, 54(8), p 1-34.PUB | DOI | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2978672Xie, G., et al., 2022. 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.PUB
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2022 | Konferenzbeitrag | PUB-ID: 2978671Hong, Y., Jin, Y., & Tang, Y., 2022. 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.PUB
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963829Liu, Z., Wang, H., & Jin, Y., 2022. Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization. IEEE Transactions on Cybernetics .PUB | DOI | WoS | PubMed | Europe PMC
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963475Bai, H., et al., 2022. Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Transactions on Cybernetics .PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978359Wang, S., et al., 2021. An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy. Knowledge-Based Systems, 234: 107568.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978360Shirazi, A.R., & Jin, Y., 2021. Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation. IEEE Transactions on Cognitive and Developmental Systems, 13(4), p 818-826.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978361Wang, X., et al., 2021. Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowledge-Based Systems, 227: 107190.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959044Wang, X., et al., 2021. Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. Evolutionary computation, 30(2), p 221–251.PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978363Yazdani, D., et al., 2021. A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Transactions on Evolutionary Computation, 25(4), p 630-650.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978362Yazdani, D., et al., 2021. A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Transactions on Evolutionary Computation, 25(4), p 609-629.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978364Qian, F., et al., 2021. Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Transactions on Neural Networks and Learning Systems, 32(8), p 3294-3295.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978365Qin, S., et al., 2021. Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Transactions on Evolutionary Computation, 25(4), p 724-738.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978366Wang, S., Liu, J., & Jin, Y., 2021. A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Transactions on Evolutionary Computation, 25(3), p 419-432.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978370Tian, Y., et al., 2021. Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Transactions on Cybernetics, 51(6), p 3115-3128.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978372Zhu, H., Zhang, H., & Jin, Y., 2021. From federated learning to federated neural architecture search: a survey. Complex & Intelligent Systems, 7(2), p 639-657.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978374Tian, Y., et al., 2021. A Coevolutionary Framework for Constrained Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation, 25(1), p 102-116.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978392Chen, H., et al., 2021. Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions. Briefings in Bioinformatics, 22(3).PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978367Tian, Y., et al., 2021. A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation, 25(3), p 405-418.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368He, C., et al., 2021. Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics, 51(6), p 3129-3142.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369He, C., et al., 2021. Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 25(3), p 448-462.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436Yu, G., et al., 2021. Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Transactions on Cybernetics .PUB | DOI | WoS | PubMed | Europe PMC
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393Huang, L., et al., 2020. Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11), p 4283-4294.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394Chen, Y., Sun, X., & Jin, Y., 2020. Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Transactions on Neural Networks and Learning Systems, 31(10), p 4229-4238.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395Zhou, Y., Jin, Y., & Ding, J., 2020. Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing, 406, p 12-23.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397Tian, Y., et al., 2020. Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Transactions on Cybernetics, 50(8), p 3696-3708.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396Yu, G., Jin, Y., & Olhofer, M., 2020. Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Transactions on Cybernetics, 50(8), p 3531-3544.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398Wang, S., Liu, J., & Jin, Y., 2020. Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Transactions on Evolutionary Computation, 24(4), p 735-749.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399Wang, H., et al., 2020. Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Applied Soft Computing, 92: 106276.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402Wang, X., et al., 2020. An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Information Sciences, 519, p 317-331.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404Wang, X., Jin, Y., & Hao, K., 2020. Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Transactions on Neural Networks and Learning Systems, 31(4), p 1363-1374.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405Zhu, H., & Jin, Y., 2020. Multi-Objective Evolutionary Federated Learning. IEEE Transactions on Neural Networks and Learning Systems, 31(4), p 1310-1322.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406Sun, Y., et al., 2020. Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Transactions on Evolutionary Computation, 24(2), p 350-364.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407Tian, Y., et al., 2020. Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Transactions on Cybernetics, 50(3), p 1106-1119.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408Zhang, X., et al., 2020. A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Transactions on Cybernetics, 50(2), p 703-716.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411Yang, Z., et al., 2020. Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics, 50(1), p 164-177.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412Wang, X., Jin, Y., & Hao, K., 2020. A Gated Recurrent Unit based Echo State Network. In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-7.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413Fourati, R., et al., 2020. EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414Naik, N., et al., 2020. Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1146-1153.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415Chen, H., et al., 2020. HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416Liao, P., et al., 2020. Multi-surrogate multi-tasking optimization of expensive problems. Knowledge-Based Systems, 205: 106262.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417Wang, S., Liu, J., & Jin, Y., 2020. Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Computational Intelligence Magazine, 15(2), p 24-35.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418Wang, X., et al., 2020. Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20). New York, NY: ACM, pp. 587-594.PUB | DOI | Download (ext.)
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403Tian, Y., et al., 2020. An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation, 24(2), p 380-393.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420Rong, M., et al., 2019. Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Transactions on Cybernetics, 49(9), p 3362-3374.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419He, C., et al., 2019. Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Transactions on Evolutionary Computation, 23(6), p 949-961.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421Peng, X., Jin, Y., & Wang, H., 2019. Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization. IEEE Transactions on Cybernetics, 49(9), p 3507-3520.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422Hua, Y., Jin, Y., & Hao, K., 2019. A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. IEEE Transactions on Cybernetics, 49(7), p 2758-2770.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423Han, D., et al., 2019. An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Information Sciences, 491, p 204-222.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424Wang, X., Jin, Y., & Hao, K., 2019. Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing, 351, p 111-122.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425Yang, C., et al., 2019. Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. IEEE Transactions on Automation Science and Engineering, 16(3), p 1046-1057.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427Wang, Y., et al., 2019. Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Applied Soft Computing, 77, p 188-204.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428Guo, D., et al., 2019. Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Transactions on Cybernetics, 49(3), p 1012-1025.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429Fan, Q., et al., 2019. A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm and Evolutionary Computation, 44, p 1-17.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430Wang, Y., et al., 2019. A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction. Information Sciences, 474, p 106-124.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431Carneiro, M.G., et al., 2019. Particle swarm optimization for network-based data classification. Neural Networks, 110, p 243-255.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433Han, Y., et al., 2019. Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns. IEEE Transactions on Cybernetics, 49(1), p 184-197.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434Du, W., et al., 2019. High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Transactions on Industrial Informatics, 15(1), p 293-304.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436Zhou, Y., Jin, Y., & Ding, J., 2019. Evolutionary Optimization of Liquid State Machines for Robust Learning. In H. Lu, H. Tang, & Z. Wang, eds. Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I. Lecture Notes in Computer Science. no.11554 Cham: Springer International Publishing, pp. 389-398.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437Andrés-Pérez, E., et al., 2019. Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design. In E. Andrés-Pérez, et al., eds. Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Computational Methods in Applied Sciences. no.49 Cham: Springer International Publishing, pp. 195-210.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448Yang, Z., Jin, Y., & Hao, K., 2019. A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. IEEE Transactions on Evolutionary Computation, 23(4), p 675-688.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451Tian, Y., et al., 2019. A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 23(2), p 331-345.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455Jin, Y., et al., 2019. Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Transactions on Evolutionary Computation, 23(3), p 442-458.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463Wang, H., et al., 2019. Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Transactions on Evolutionary Computation, 23(2), p 203-216.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479Ye, X., et al., 2019. A hybrid instance-intensive workflow scheduling method in private cloud environment. Natural Computing, 18(4), p 735-746.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482Wang, D.-J., Liu, F., & Jin, Y., 2019. A proactive scheduling approach to steel rolling process with stochastic machine breakdown. Natural Computing, 18(4), p 679-694.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495Ding, J., et al., 2019. Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Transactions on Evolutionary Computation, 23(1), p 44-58.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503Guo, F., et al., 2019. A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process. Natural Computing, 18(4), p 747-756.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461Tian, J., et al., 2019. Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation, 23(3), p 459-472.PUB | DOI | Download (ext.)
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432Jiao, R., et al., 2019. A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Information Sciences, 471, p 80-96.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435Ding, J., et al., 2018. Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. IEEE Transactions on Emerging Topics in Computational Intelligence, , p 1-13.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438Wang, H., Jin, Y., & Doherty, J., 2018. A Generic Test Suite for Evolutionary Multifidelity Optimization. IEEE Transactions on Evolutionary Computation, 22(6), p 836-850.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439Cui, S., et al., 2018. An improved support vector machine-based diabetic readmission prediction. Computer Methods and Programs in Biomedicine, 166, p 123-135.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440Xie, Z., & Jin, Y., 2018. An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation. IEEE Transactions on Cognitive and Developmental Systems, 10(3), p 738-750.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441Tian, Y., et al., 2018. An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation, 22(4), p 609-622.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442Yu, H., et al., 2018. Surrogate-assisted hierarchical particle swarm optimization. Information Sciences, 454-455, p 59-72.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444Gu, S., Cheng, R., & Jin, Y., 2018. Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Computing, 22(3), p 811-822.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447Jin, Y., Miettinen, K., & Ishibuchi, H., 2018. Guest Editorial Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 22(1), p 1-2.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467Sun, C., et al., 2018. Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. In H. Aguirre, ed. Proceedings of the Genetic and Evolutionary Computation Conference. New York, NY: ACM, pp. 45-52.PUB | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457Chen, Z., et al., 2018. Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection. Neurocomputing, 309, p 192-200.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453Sun, C., et al., 2018. A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. Memetic Computing, 10(2), p 123-134.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458Wang, H., Doherty, J., & Jin, Y., 2018. Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization. In 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460Oh, H., Shiraz, A.R., & Jin, Y., 2018. Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots. Soft Computing, 22(6), p 1833-1844.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464Qian, C., et al., 2018. On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evolutionary Computation, 26(2), p 237-267.PUB | DOI | Download (ext.)
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465Lu, J., et al., 2018. Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network. IFAC-PapersOnLine, 51(18), p 655-660.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469Doherty, J.J., Wang, H., & Jin, Y., 2018. Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization. In 2018 Applied Aerodynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics.PUB | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445Zhang, X., et al., 2018. A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 22(1), p 97-112.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489Jin, Y., & Kollias, S., 2017. Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]. IEEE Computational Intelligence Magazine, 12(2), p 18-19.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454Tian, J., et al., 2017. Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456Thomas, S.A., et al., 2017. Enhancing classification of mass spectrometry imaging data with deep neural networks. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462Carneiro, M.G., et al., 2017. Nature-Inspired Graph Optimization for Dimensionality Reduction. In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, pp. 1113-1119.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468Yang, C., et al., 2017. Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, pp. 76-81.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470Chrol-Cannon, J., Jin, Y., & Grüning, A., 2017. An efficient method for online detection of polychronous patterns in spiking neural networks. Neurocomputing, 267, p 644-650.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471Cheng, R., et al., 2017. Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Transactions on Cybernetics, 47(12), p 4108-4121.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472Liu, Y., et al., 2017. A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy. IEEE Transactions on Cybernetics, 47(9), p 2689-2702.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474Gu, S., & Jin, Y., 2017. Multi-train: A semi-supervised heterogeneous ensemble classifier. Neurocomputing, 249, p 202-211.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498Jin, Y., & Ding, J., 2017. Special issue on “Data-driven evolutionary optimization”. Soft Computing, 21(20), p 5867-5868.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499Allmendinger, R., et al., 2017. Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. Journal of Multi-Criteria Decision Analysis, 24(1-2), p 5-24.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500Jin, Y., Ding, J., & Ding, Y., 2017. Thematic issue on “bio-inspired learning for data analysis”. Memetic Computing, 9(1), p 1-2.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476Wang, H., Jin, Y., & Yao, X., 2017. Diversity Assessment in Many-Objective Optimization. IEEE Transactions on Cybernetics, 47(6), p 1510-1522.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477Shirazi, A.R., & Jin, Y., 2017. A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5), p 326-338.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480Huang, Y., et al., 2017. A multi-objective approach to robust optimization over time considering switching cost. Information Sciences, 394-395, p 183-197.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481Wang, D.-J., Liu, F., & Jin, Y., 2017. A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling. Computers & Operations Research, 79, p 279-290.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483He, C., et al., 2017. A radial space division based evolutionary algorithm for many-objective optimization. Applied Soft Computing, 61, p 603-621.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484Liu, J., et al., 2017. A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps. BMC Bioinformatics, 18(1): 241.PUB | PDF | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486Naik, N., et al., 2017. Augmented windows fuzzy firewall for preventing denial of service attack. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, pp. 1-6.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487Oh, H., et al., 2017. Bio-inspired self-organising multi-robot pattern formation: A review. Robotics and Autonomous Systems, 91, p 83-100.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488Albukhanajer, W.A., Jin, Y., & Briffa, J.A., 2017. Classifier ensembles for image identification using multi-objective Pareto features. Neurocomputing, 238, p 316-327.PUB | DOI | Download (ext.)
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491Wang, H., & Jin, Y., 2017. Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. In 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 649-656.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493Yao, G., et al., 2017. Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. Soft Computing, 21(15), p 4309-4322.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494Cheng, R., et al., 2017. Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(2), p 97-111.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496Zhang, X., et al., 2017. Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. IEEE Computational Intelligence Magazine, 12(3), p 43-53.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497Tian, Y., et al., 2017. PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Computational Intelligence Magazine, 12(4), p 73-87.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501Ye, X., et al., 2017. User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm. Knowledge-Based Systems, 135, p 113-124.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475Sun, C., et al., 2017. Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation, 21(4), p 644-660.PUB | DOI | Download (ext.)
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473Wang, H., Jin, Y., & Doherty, J., 2017. Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems. IEEE Transactions on Cybernetics, 47(9), p 2664-2677.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485Yolcu, U., Jin, Y., & Egrioglu, E., 2016. An ensemble of single multiplicative neuron models for probabilistic prediction. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490Hakanen, J., et al., 2016. Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492Zhang, X., et al., 2016. Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502Cheng, R., et al., 2016. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 20(5), p 773-791.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504Peng, X., Liu, K., & Jin, Y., 2016. A dynamic optimization approach to the design of cooperative co-evolutionary algorithms. Knowledge-Based Systems, 109, p 174-186.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505Tian, Y., et al., 2016. A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 5222-5229.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506Zhang, X., Tian, Y., & Jin, Y., 2016. Approximate non-dominated sorting for evolutionary many-objective optimization. Information Sciences, 369, p 14-33.PUB | DOI | Download (ext.)
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2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508Cheng, S., et al., 2016. Evolutionary Computation and Big Data: Key Challenges and Future Directions. In Y. Tan & Y. Shi, eds. Data Mining and Big Data. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 3-14.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512Ding, Y., et al., 2016. Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes. Information Sciences, 342, p 81-95.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513He, H., et al., 2016. Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 1022-1029.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514Yusoff, M.-H., Chrol-Cannon, J., & Jin, Y., 2016. Modeling neural plasticity in echo state networks for classification and regression. Information Sciences, 364-365, p 184-196.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517Cerri, R., et al., 2016. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17(1): 373.PUB | PDF | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518Jin, Y., et al., 2016. Reference point based prediction for evolutionary dynamic multiobjective optimization. In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 3769-3776.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519Rahat, A., et al., 2016. Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. In T. Friedrich, ed. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: ACM, pp. 1265-1266.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520He, H., et al., 2016. The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 1015-1021.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521Brown, C., et al., 2016. $$\mu $$ μ JADE: adaptive differential evolution with a small population. Soft Computing, 20(10), p 4111-4120.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515Carneiro, M.G., et al., 2016. Network structural optimization based on swarm intelligence for highlevel classification. In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 3737-3744.PUB | DOI | Download (ext.)
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509Han, Y., et al., 2016. Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Applied Soft Computing, 42, p 229-245.PUB | DOI | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510Sun, C., et al., 2016. Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. In T. Friedrich, F. Neumann, & A. M. Sutton, eds. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: ACM, pp. 1277-1278.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526Cheng, R., et al., 2015. A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Transactions on Evolutionary Computation, 19(6), p 838-856.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511Wu, I.-C., et al., 2015. General chairs and program chairs message. In 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, pp. 13-14.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522Zhang, T., et al., 2015. A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production. Soft Computing, 19(6), p 1523-1540.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523Wu, Y., Jin, Y., & Liu, X., 2015. A directed search strategy for evolutionary dynamic multiobjective optimization. Soft Computing, 19(11), p 3221-3235.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525Wang, D.-J., et al., 2015. A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect. Knowledge-Based Systems, 90, p 70-80.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527Cheng, R., & Jin, Y., 2015. A social learning particle swarm optimization algorithm for scalable optimization. Information Sciences, 291, p 43-60.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528Sun, C., et al., 2015. A two-layer surrogate-assisted particle swarm optimization algorithm. Soft Computing, 19(6), p 1461-1475.PUB | DOI | Download (ext.)
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529Cheng, R., Jin, Y., & Narukawa, K., 2015. Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. In A. Gaspar-Cunha, C. Henggeler Antunes, & C. C. Coello, eds. Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science. no.9018 Cham: Springer International Publishing, pp. 127-140.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530Jin, Y., et al., 2015. An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks. Soft Computing, 19(5), p 1427-1441.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532Rahman, T., et al., 2015. Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses. Bioinformatics, 31(6), p 834-840.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536Chrol-Cannon, J., & Jin, Y., 2015. Learning structure of sensory inputs with synaptic plasticity leads to interference. Frontiers in Computational Neuroscience, 9.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537Gu, S., Cheng, R., & Jin, Y., 2015. Multi-objective ensemble generation. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5), p 234-245.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538Huang, Y., Jin, Y., & Ding, Y., 2015. New performance indicators for robust optimization over time. In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 1380-1387.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540Cheng, R., Olhofer, M., & Jin, Y., 2015. Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 939-946.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541Yang, B., et al., 2015. Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis. Robotics and Autonomous Systems, 72, p 83-92.PUB | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542Jin, Y., 2015. Special issue on UKCI 2013. Soft Computing, 19(6), p 1443-1444.PUB | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543Albukhanajer, W.A., Jin, Y., & Briffa, J.A., 2015. Trade-off between computational complexity and accuracy in evolutionary image feature extraction. In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 2412-2419.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548Xue, S., et al., 2014. Effect of Communication Modes to Swarm Robotic Search. The Open Electrical & Electronic Engineering Journal, 8(1), p 240-244.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533Gu, S., & Jin, Y., 2014. Generating diverse and accurate classifier ensembles using multi-objective optimization. In 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, pp. 9-15.PUB | DOI | Download (ext.)
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544Oh, H., & Jin, Y., 2014. Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In M. Mistry, et al., eds. Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 197-208.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545Zhou, Z.-H., et al., 2014. Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]. IEEE Computational Intelligence Magazine, 9(4), p 62-74.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546Chrol-Cannon, J., & Jin, Y., 2014. Computational modeling of neural plasticity for self-organization of neural networks. Biosystems, 125, p 43-54.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547Cheng, R., & Jin, Y., 2014. Demonstrator selection in a social learning particle swarm optimizer. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 3103-3110.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549Smith, C., & Jin, Y., 2014. Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction. Neurocomputing, 143, p 302-311.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551Jin, Y., 2014. IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Computational Intelligence Magazine, 9(1), p 9-10.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550Oh, H., & Jin, Y., 2014. Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 776-783.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552Yusoff, M.-H., & Jin, Y., 2014. Modeling neural plasticity in echo state networks for time series prediction. In 2014 14th UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 1-7.PUB | DOI | Download (ext.)
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553Ramezan Shirazi, A., Oh, H., & Jin, Y., 2014. Morphogenetic Self-Organization of Collective Movement without Directional Sensing. In M. Mistry, et al., eds. Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 139-150.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554Smith, C., Doherty, J., & Jin, Y., 2014. Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 2609-2616.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555Albukhanajer, W.A., Jin, Y., & Briffa, J.A., 2014. Neural network ensembles for image identification using Pareto-optimal features. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 89-96.PUB | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556Chrol-Cannon, J., & Jin, Y., 2014. On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity. PLoS ONE, 9(7): e101792.PUB | PDF | DOI | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557Thomas, S.A., & Jin, Y., 2014. Reconstructing biological gene regulatory networks: where optimization meets big data. Evolutionary Intelligence, 7(1), p 29-47.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558Liu, T., et al., 2014. Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 640-646.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559Albukhanajer, W.A., et al., 2013. A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction. In R. C. Purshouse, et al., eds. Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 573-586.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560Jin, Y., et al., 2013. A framework for finding robust optimal solutions over time. Memetic Computing, 5(1), p 3-18.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561Meng, Y., Guo, H., & Jin, Y., 2013. A morphogenetic approach to flexible and robust shape formation for swarm robotic systems. Robotics and Autonomous Systems, 61(1), p 25-38.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562Sun, C., et al., 2013. A new fitness estimation strategy for particle swarm optimization. Information Sciences, 221, p 355-370.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563Chen, J., et al., 2013. A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process. Fibers and Polymers, 14(10), p 1722-1730.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564Lu, J., et al., 2013. An evolution strategy assisted by an ensemble of local Gaussian process models. In C. Blum, ed. Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, pp. 447-454.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565Jia, G., et al., 2013. An improved (μ+λ)-constrained differential evolution for constrained optimization. Information Sciences, 222, p 302-322.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566Le, M.N., et al., 2013. Evolution by Adapting Surrogates. Evolutionary Computation, 21(2), p 313-340.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567Chai, T., Jin, Y., & Sendhoff, B., 2013. Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]. IEEE Computational Intelligence Magazine, 8(3), p 12-15.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568Xiao, A., Wang, B., & Jin, Y., 2013. Evolutionary truss layout optimization using the vectorized structure approach. In 2013 IEEE Congress on Evolutionary Computation. IEEE, pp. 2879-2886.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569THOMAS, S.P.E.N.C.E.R.A.N.G.U.S., & Jin, Y., 2013. EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS. Journal of Bioinformatics and Computational Biology, 11(03): 1341001.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571Zhuang, L., Tang, K., & Jin, Y., 2013. Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. In H. Yin, et al., eds. Intelligent Data Engineering and Automated Learning – IDEAL 2013. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 366-375.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572Thomas, S.A., et al., 2013. Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. In 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 24-30.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573Smith, C., Doherty, J., & Jin, Y., 2013. Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization. In 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, pp. 9-16.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575Cheng, R., & Jin, Y., 2013. Simulating swarm behaviuors for optimisation by learning from neighbours. In 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 82-87.PUB | DOI | Download (ext.)
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576Thomas, S.A., & Jin, Y., 2013. Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In R. C. Purshouse, et al., eds. Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 696-709.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574Sun, C., et al., 2013. Similarity-based evolution control for fitness estimation in particle swarm optimization. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577Jin, Y., 2012. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]. IEEE Computational Intelligence Magazine, 7(4), p 17-17.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578Yin, J., Meng, Y., & Jin, Y., 2012. A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Transactions on Autonomous Mental Development, 4(4), p 273-289.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579Guo, H., Jin, Y., & Meng, Y., 2012. A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage. ACM Transactions on Autonomous and Adaptive Systems, 7(1), p 1-23.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580Le, M.N., et al., 2012. A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Computational Intelligence Magazine, 7(1), p 20-35.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581Bush, D., & Jin, Y., 2012. Calcium control of triphasic hippocampal STDP. Journal of Computational Neuroscience, 33(3), p 495-514.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582Thomas, S.A., & Jin, Y., 2012. Combining genetic oscillators and switches using evolutionary algorithms. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 28-34.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583Doncieux, S., et al., 2012. Evo-devo-robo workshop program. In T. Soule, ed. Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. New York, NY, USA: ACM, pp. 355-356.PUB | DOI | Download (ext.)
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584Schramm, L., Jin, Y., & Sendhoff, B., 2012. Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artificial Life, 18(4), p 425-444.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585Albukhanajer, W.A., et al., 2012. Evolutionary multi-objective optimization of trace transform for invariant feature extraction. In 2012 IEEE Congress on Evolutionary Computation. IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586Gu, S., & Jin, Y., 2012. Heterogeneous classifier ensembles for EEG-based motor imaginary detection. In 2012 12th UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587Schramm, L., Jin, Y., & Sendhoff, B., 2012. Quantitative analysis of redundancy in evolution of developmental systems. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 61-68.PUB | DOI | Download (ext.)
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588Chrol-Cannon, J., Gruning, A., & Jin, Y., 2012. The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. In The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-6.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589Meng, Y., Guo, H., & Jin, Y., 2011. A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In S. Doncieux, N. Bredèche, & J. - B. Mouret, eds. New Horizons in Evolutionary Robotics. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 123-137.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590Meng, Y., Zhang, Y., & Jin, Y., 2011. Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model. IEEE Computational Intelligence Magazine, 6(1), p 43-54.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591Meng, Y., et al., 2011. Cross-Ball: A new morphogenetic self-reconfigurable modular robot. In 2011 IEEE International Conference on Robotics and Automation. IEEE, pp. 267-272.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592Schramm, L., Jin, Y., & Sendhoff, B., 2011. Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. In G. Kampis, I. Karsai, & E. Szathmáry, eds. Advances in Artificial Life. Darwin Meets von Neumann. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 27-34.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594Jin, Y., et al., 2011. Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE Transactions on Autonomous Mental Development, 3(4), p 273-275.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593Jin, Y., & Meng, Y., 2011. Emergence of robust regulatory motifs from in silico evolution of sustained oscillation. Biosystems, 103(1), p 38-44.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595Tyrrell, A.M., & Jin, Y., 2011. Guest Editorial: Special Issue on Evolving Developmental Systems. IEEE Transactions on Evolutionary Computation, 15(3), p 285-286.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596Jin, Y., & Meng, Y., 2011. Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In Y. Meng & Y. Jin, eds. Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 3-23.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597Jin, Y., & Meng, Y., 2011. Morphogenetic Robotics: An Emerging New Field in Developmental Robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 41(2), p 145-160.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598Meng, Y., & Jin, Y., 2011. Morphogenetic Self-Reconfiguration of Modular Robots. In Y. Meng & Y. Jin, eds. Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 143-171.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599Liu, M., Zhang, S., & Jin, Y., 2011. Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks, 24(3), p 280-290.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600Zheng, Y., Meng, Y., & Jin, Y., 2011. Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways. Neurocomputing, 74(17), p 3158-3169.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601Schramm, L., Jin, Y., & Sendhoff, B., 2011. Redundancy creates opportunity in developmental representations. In 2011 IEEE Symposium on Artificial Life (ALIFE). IEEE, pp. 203-210.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602Gehrmann, E., et al., 2011. Robustness of glycolysis in yeast to internal and external noise. Physical Review E, 84(2): 021913.PUB | DOI | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603Jin, Y., 2011. Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and Evolutionary Computation, 1(2), p 61-70.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604Guo, H., Meng, Y., & Jin, Y., 2011. Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. In 2011 IEEE International Conference on Robotics and Automation. IEEE, pp. 3205-3210.PUB | DOI | Download (ext.)
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605Jones, B., et al., 2011. The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. In G. Kampis, I. Karsai, & E. Szathmáry, eds. Advances in Artificial Life. Darwin Meets von Neumann. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 18-26.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606Jin, Y., & Trommler, J., 2010. A fitness-independent evolvability measure for evolutionary developmental systems. In 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607Jin, Y., Meng, Y., & Guo, H., 2010. A morphogenetic self-organization algorithm for swarm robotic systems using relative position information. In 2010 UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 1-6.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608Guo, H., Meng, Y., & Jin, Y., 2010. Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. In IEEE Congress on Evolutionary Computation. IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609Jones, B., et al., 2010. Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. In S. Doncieux, et al., eds. From Animals to Animats 11. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 587-596.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610Steiner, T., et al., 2010. Evolving heterochrony for cellular differentiation using vector field embryogeny. In Proceedings of the 12th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, pp. 571-578.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611Zheng, Y., Meng, Y., & Jin, Y., 2010. Fusing bottom-up and top-down pathways in neural networks for visual object recognition. In The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612Jin, Y., & Meng, Y., 2010. Special Issue on Evolutionary and Developmental Robotics [Guest Editorial. IEEE Computational Intelligence Magazine, 5(3), p 9-9.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613Meng, Y., et al., 2010. Human activity detection using spiking neural networks regulated by a gene regulatory network. In The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-6.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615Jin, Y., Oh, S., & Jeon, M., 2010. Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. In IEEE Congress on Evolutionary Computation. IEEE, pp. 1-8.PUB | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617Yu, X., et al., 2010. Robust optimization over time — A new perspective on dynamic optimization problems. In IEEE Congress on Evolutionary Computation. IEEE, pp. 1-6.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618Guo, H., Meng, Y., & Jin, Y., 2009. A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. Biosystems, 98(3), p 193-203.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619Jin, Y., Schramm, L., & Sendhoff, B., 2009. A Gene Regulatory Model for the Development of Primitive Nervous Systems. In M. Köppen, N. Kasabov, & G. Coghill, eds. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 48-55.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620Jin, Y., & Sendhoff, B., 2009. A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Computational Intelligence Magazine, 4(3), p 62-76.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621Okabe, T., Jin, Y., & Sendhoff, B., 2009. Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching. In C. - K. Goh, Y. - S. Ong, & K. C. Tan, eds. Multi-Objective Memetic Algorithms. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 281-307.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622Jin, Y., & Sendhoff, B., 2009. 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), 39(3), p 373-373.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623Jones, B., et al., 2009. Evolution of Neural Organization in a Hydra-Like Animat. In M. Köppen, N. Kasabov, & G. Coghill, eds. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 216-223.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624Jin, Y., et al., 2009. Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making. IEEE, pp. 38-45.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625Jin, Y., & Hallinan, J., 2009. Evolving gene regulatory networks. Biosystems, 98(3), p vi-vii.PUB | DOI | Download (ext.)
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626Jin, Y., & Sendhoff, B., 2009. Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks. In Y. Jin & L. Wang, eds. Fuzzy Systems in Bioinformatics and Computational Biology. Studies in Fuzziness and Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 315-327.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627Steiner, T., et al., 2009. Global shape with morphogen gradients and motile polarized cells. In 2009 IEEE Congress on Evolutionary Computation. IEEE, pp. 2225-2232.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628Jin, Y., Meng, Y., & Sendhoff, B., 2009. Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. In 2009 IEEE Symposium on Artificial Life. IEEE, pp. 61-68.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629Le, M.N., et al., 2009. Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Computing, 1(3), p 175-190.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630Meeter, M., Veldkamp, R., & Jin, Y., 2009. Multiple memory stores and operant conditioning: A rationale for memory’s complexity. Brain and Cognition, 69(1), p 200-208.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631Jin, Y., Gruna, R., & Sendhoff, B., 2009. Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China, 3(1), p 4-17.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632Jin, Y., Guo, H., & Meng, Y., 2009. Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. In 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems. IEEE, pp. 154-164.PUB | DOI | Download (ext.)
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633Guo, H., Meng, Y., & Jin, Y., 2009. Self-adaptive multi-robot construction using gene regulatory networks. In 2009 IEEE Symposium on Artificial Life. IEEE, pp. 53-60.PUB | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634Steiner, T., Jin, Y., & Sendhoff, B., 2009. Vector Field Embryogeny. PLoS ONE, 4(12): e8177.PUB | PDF | DOI | Download (ext.)
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636Zhou, A., et al., 2008. Combination of EDA and DE for continuous biobjective optimization. In 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, pp. 1447-1454.PUB | DOI | Download (ext.)
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637Zhang, Q., Zhou, A., & Jin, Y., 2008. Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]. IEEE Transactions on Evolutionary Computation, 12(3), p 392-392.PUB | DOI | Download (ext.)
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638Lim, D., et al., 2008. Evolutionary Optimization with Dynamic Fidelity Computational Models. In D. - S. Huang, et al., eds. 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. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 235-242.PUB | DOI | Download (ext.)
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639Jin, Y., Sendhoff, B., & Körner, E., 2008. Rule Extraction from Compact Pareto-optimal Neural Networks. In A. Ghosh, S. Dehuri, & S. Ghosh, eds. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 71-90.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640Lim, D., et al., 2007. A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. In Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, pp. 1288-1295.PUB | DOI | Download (ext.)
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641Lim, D., et al., 2007. Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Generation Computer Systems, 23(4), p 658-670.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642Steiner, T., et al., 2007. Emergence of feedback in artificial gene regulatory networks. In 2007 IEEE Congress on Evolutionary Computation. IEEE, pp. 867-874.PUB | DOI | Download (ext.)
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643Zhou, A., et al., 2007. Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. In Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, pp. 617-623.PUB | DOI | Download (ext.)
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644Gräning, L., Jin, Y., & Sendhoff, B., 2007. Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. In S. Yang, Y. - S. Ong, & Y. Jin, eds. Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 225-250.PUB | DOI | Download (ext.)
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645Lim, D., et al., 2007. Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. In S. Yang, Y. - S. Ong, & Y. Jin, eds. Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 437-456.PUB | DOI | Download (ext.)
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2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646Wang, H., et al., 2006. Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In Y. Jin, ed. Multi-Objective Machine Learning. Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag, pp. 339-364.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647Yang, S., Ong, Y.-S., & Jin, Y., 2006. Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines, 7(4), p 293-294.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648Branke, J., & Jin, Y., 2006. Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty. IEEE Transactions on Evolutionary Computation, 10(4), p 377-379.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649Lim, D., et al., 2006. Inverse multi-objective robust evolutionary design. Genetic Programming and Evolvable Machines, 7(4), p 383-404.PUB | DOI | Download (ext.)
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650Foli, K., et al., 2006. Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms. International Journal of Heat and Mass Transfer, 49(5-6), p 1090-1099.PUB | DOI | Download (ext.)
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2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651Jin, Y., Sendhoff, B., & Körner, E., 2006. Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. In Y. Jin, ed. Multi-Objective Machine Learning. Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag, pp. 289-312.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652Wang, H., et al., 2005. Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35(2), p 143-155.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653Jin, Y., & Branke, J., 2005. Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on Evolutionary Computation, 9(3), p 303-317.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654Jin, Y., 2005. Guest Editorial Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35(2), p 129-130.PUB | DOI | Download (ext.)
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655Wang, H., et al., 2005. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems, 149(1), p 149-186.PUB | DOI | Download (ext.)
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656Jin, Y., & Sendhoff, B., 2004. Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In K. Deb, ed. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Lecture Notes in Computer Science. no.3102 Berlin, Heidelberg: Springer, pp. 688-699.PUB | DOI
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2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657Jin, Y., Okabe, T., & Sendhoff, B., 2003. Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. In E. Cantú-Paz, et al., eds. Genetic and Evolutionary Computation — GECCO 2003. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 636-637.PUB | DOI | Download (ext.)
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2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658Jin, Y., & Sendhoff, B., 2003. Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. In C. M. Fonseca, et al., eds. Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 237-251.PUB | DOI | Download (ext.)
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2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659Jin, Y., 2000. Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems, 8(2), p 212-221.PUB | DOI | Download (ext.)
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1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660Jin, Y., & von Seelen, W., 1999. Evaluating flexible fuzzy controllers via evolution strategies. Fuzzy Sets and Systems, 108(3), p 243-252.PUB | DOI | Download (ext.)
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1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661Jin, Y., Jiang, J., & Zhu, J., 1995. Adaptive fuzzy modelling and identification with its applications. International Journal of Systems Science, 26(2), p 197-212.PUB | DOI | Download (ext.)
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1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684Jin, Y., Jiang, J., & Zhu, J., 1995. Neural network based fuzzy identification and its application to modeling and control of complex systems. IEEE Transactions on Systems, Man, and Cybernetics, 25(6), p 990-997.PUB | DOI | Download (ext.)