4 Publikationen

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  • [4]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Liu, Y., Liu, J., Ding, J., Yang, S. & Jin, Y. (2024). A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3291697.
    PUB | DOI | WoS
     
  • [3]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991629
    Hao, Z., Jin, Y., Yan, X., Wang, C., Yang, S. & Ge, H. (2024). Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing: 128293. Elsevier BV. doi:10.1016/j.neucom.2024.128293.
    PUB | DOI
     
  • [2]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989439
    Tian, Y., Wang, L., Yang, S., Ding, J., Jin, Y. & Zhang, X. (2024). Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2024.3400398.
    PUB | DOI
     
  • [1]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983214
    Si, L., Zhang, X., Tian, Y., Yang, S., Zhang, L. & Jin, Y. (2023). Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3319640.
    PUB | DOI
     

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