学术论文
  • X. Lin, W. Luo, P. Xu, Y. Qiao, "PopDMMO: a general framework of population-based stochastic search algorithms for dynamic multimodal optimization," Swarm and Evolutionary Computation, 2021.

  • P. Xu, W. Luo, J. Xu, Y. Qiao, J. Zhang, N. Gu, "An alternative way of evolutionary multimodal optimization: density-based population initialization strategy," Swarm and Evolutionary Computation, 2021.

  • W. Luo, B. Duan, L. Ni and Y. Liu, "Collaborative detection of community structure in multiple private networks," IEEE Transactions on Computational Social Systems, 2021.

  • P. Xu, W. Luo, X. Lin, J. Zhang, Y. Qiao, X. Wang, "Constraint-objective cooperative coevolution for large-scale constrained optimization," ACM Transactions on Evolutionary Learning and Optimization, 2021.

  • N. Zhou, W. Luo, J. Zhang, L. Kong and H. Zhang, "Hiding all labels for multi-label images: an empirical study of adversarial examples," in 2021 International Joint Conference on Neural Networks (IJCNN), 2021.

  • Z. She, W. Luo, Y. Chang, X. Lin, Y. Tan, "A new evolutionary approach to multiparty multiobjective optimization," in the Twelfth International Conference on Swarm Intelligence (ICSI 2021), 2021.

  • P. Xu, W. Luo, X. Lin, S. Cheng, Y. Shi, "BSO20: efficient brain storm optimization for real-parameter numerical optimization," Complex & Intelligent System, 2021.

  • W. Luo, X. Lin, J. Zhang and M. Preuss, "A survey of nearest-better clustering in swarm and evolutionary computation," in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021.

  • C. Wu, W. Luo, N. Zhou, P. Xu and T. Zhu, "Genetic algorithm with multiple fitness functions for generating adversarial examples," in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021.

  • L. Ni, W. Luo, T. Zhu and P. Xu, "On followers search,"; IEEE Transactions on Computational Social Systems, 2021.

  • P. Xu, W. Luo, X. Lin, Y. Qiao, "Evolutionary continuous constrained optimization using random direction repair," Information Sciences, 2021.

  • W. Ding, N. R. Pal, C. -T. Lin, Y. -m. Cheung, Z. Cao and W. Luo, "Guest editorial special issue on emerging computational intelligence techniques for decision making with big data in uncertain environments," IEEE Transactions on Emerging Topics in Computational Intelligence, 2021.

  • D. Zhao, X. Zhou, J. Xiang and W. Luo, "NDBIris with better unlinkability," in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

  • H. Jiang, W. Luo, B. Duan, C. Wu, "Enhancing the privacy of negative surveys using negative combined categories," Applied Soft Computing, 2020.

  • W. Luo, J. Wang, Y. Hu and P. Xu, "Solving dynamic 3-SAT formula: an empirical study," in 2020 3rd International Conference on Data Intelligence and Security (ICDIS), 2020.

  • P. Xu, W. Luo, J. Xu, Y. Qiao, J. Zhang, "Density-based population initialization strategy for continuous optimization," in the 15th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2020), 2020.

  • W. Liu, W. Luo, X. Lin, M. Li and S. Yang, "Evolutionary approach to multiparty multiobjective optimization problems with common pareto optimal solutions," in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020.

  • N. Zhou, W. Luo, X. Lin, P. Xu and Z. Zhang, "Generating multi-label adversarial examples by linear programming," in 2020 International Joint Conference on Neural Networks (IJCNN), 2020.

  • W. Luo, B. Duan, H. Jiang and L. Ni, "Time-evolving social network generator based on modularity: TESNG-M," IEEE Transactions on Computational Social Systems, 2020.

  • W. Luo, Y. Qiao, X. Lin, P. Xu and M. Preuss, "Hybridizing niching, particle swarm optimization, and evolution strategy for multimodal optimization," IEEE Transactions on Cybernetics, 2020.