2021:

  1. Evolutionary dynamic multi-objective optimization via learning from historical search process
    Zhao Q, Yan B, Shi Y, et al. IEEE Transactions on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3059252.

  2. Generalized Test Suite for Continuous Dynamic Multi-Objective Optimization
    Shao C, Zhao Q, Shi Y, et al. International Conference on Evolutionary Multi-Criterion Optimization, 2021, in press.

2020:

  1. Limit Cycle Based Mutant Multi Objective Pigeon Inspired Optimization
    Duan H, Huo M, Shi Y. IEEE Transactions on Evolutionary Computation, 2020, 24(5):948-959.

  2. Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design
    Ma L, Cheng S, Shi Y. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, in press.

  3. Evolutionary Computation for Solving Search-based Dataanalytics Problems
    Cheng S, Ma L, Lu H, et al. Artificial Intelligence Review, 2020, in press.

  4. A Novel Many-Objective Evolutionary Algorithm based on Transfer Matrix with Kriging Model
    Ma L, Wang R, Chen S, et al. Information Sciences, 2020, 509: 437-456.

  5. Adaptive Online Data-Driven Closed-Loop Parameter Control Strategy for Swarm Intelligence Algorithm
    Lu H, Liu Y, Cheng S, et al. Information Sciences, 2020, 536: 25-52.

  6. Cooperative Coevolution of Real Predator Robots and Virtual Robots in the Pursuit Domain
    Sun L, Lyu C, Shi Y. Applied Soft Computing, 2020, 89: 106098.

  7. Visual Fixation Prediction with Incomplete Attention Map based on Brain Storm Optimization
    Yang J, Shen Y, Shi Y. Applied Soft Computing, 2020, 96: 106653.

  8. Brain Storm Optimization Algorithm for Solving Knowledge Spillover Problems
    Cheng S, Zhang M, Ma L, et al. Neural Computing and Applications, 2020, in press.

  9. A Novel Multi-task Optimization Algorithm based on the Brainstorming Process
    Lyu C, Shi Y, Sun L,. IEEE Access, 2020, 8: 217134–217149.

  10. A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows
    Shen Y, Liu M, Yang J, et al. IEEE Access, 2020, 8: 93882-93893.

  11. Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network
    Qu L, Zhu H, Duan Q, et al. Proceedings of The Web Conference 2020. 2020: 3026-3032.

  12. A Hybrid Brain Storm Optimization Algorithm for Dynamic Vehicle Routing Problem
    Liu M, Shen Y, Shi Y. International Conference on Swarm Intelligence. Springer, Cham, 2020: 251-258.

  13. BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy
    Qu L, Duan Q, Yang J, et al. International Conference on Swarm Intelligence. Springer, Cham, 2020: 243-250.

  14. A Parallel Evolutionary Algorithm with Value Decomposition for Multi-agent Problems
    Li G, Duan Q, Shi Y. International Conference on Swarm Intelligence. Springer, Cham, 2020: 616-627.

  15. Swarm Intelligence in Data Science: Applications, Opportunities and Challenges
    Yang J, Qu L, Shen Y, et al. International Conference on Swarm Intelligence. Springer, Cham, 2020: 3-14.

  16. A Hybrid BSO-ACS Algorithm for Vehicle Routing Problem with Time Windows on Road Networks
    Liu M, Shen Y, Zhao Q, et al. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020.

  17. Brain Storm Robotics: An Automatic Design Framework for Multi-Robot Systems
    Yang J, Shen Y, Shi Y. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020.

  18. BSO-AL: Brain Storm Optimization Algorithm with Adaptive Learning Strategy
    Shen Y, Yang J, Cheng S, et al. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020.

  19. BSOGCN: Brain Storm Optimization Graph Convolutional Networks based Heterogeneous Information Networks Embedding
    Qu L, Zhu H, Shi Y. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020.

  20. Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real World Problems
    Cheng S, Shi Y, Eds. IGI Global, 2020.

2019:

  1. A Novel Local Community Detection Method Using Evolutionary Computation
    Lyu C, Sun L, Shi Y. IEEE Transactions on Cybernetics, 2019, in press.

  2. Predator-Prey Pigeon-Inspired Optimization for UAV ALS Longitudinal Parameters Tuning
    Duan H, Huo M, Yang Z, et al. IEEE Transactions on Aerospace and Electronic Systems, 2019, 55(5): 2347-2358.

  3. Feature Selection based on Brain Storm Optimization for Data Classification
    Pourpanah F, Shi Y, Lim C P, et al. Applied Soft Computing, 2019, 80: 761-775.

  4. Multi-Center Variable-Scale Search Algorithm for Combinatorial Optimization Problems with the Multimodal Property
    Lu H, Zhou R, Cheng S, et al. Applied Soft Computing, 2019, 84: 105726.

  5. Cost-Sensitive Feature Selection using Two-Archive Multi-Objective Artificial Bee Colony Algorithm
    Zhang Y, Cheng S, Shi Y, et al. Expert Systems with Applications, 2019, 137: 46-58.

  6. Generalized Pigeon-Inspired Optimization Algorithms
    Cheng S, Lei X, Lu H, et al. Science China Information Sciences., 2019, 62(7): 70211:1-70211:3.

  7. Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization
    Duan Q, Qu L, Shao C, et al. 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019: 2690-2697.

  8. When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations
    Duan Q, Shao C, Qu L, et al. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 721-730.

  9. An Unknown Environment Exploration Strategy for Swarm Robotics based on Brain Storm Optimization Algorithm
    Li G, Zhang D, Shi Y. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 1044-1051.

  10. Cooperative Optimization Algorithm for the 100-Digit Challenge
    Zhang G, Shi Y, Huang J S. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 376-380.

  11. Gradient-free Algorithms for Graph Embedding
    Qu L, Shi Y. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 2746-2752.

  12. An Adaptive Online Parameter Control Algorithm for Particle Swarm Optimization Based on Reinforcement Learning
    Liu Y, Lu H, Cheng S, et al. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 815-822.

  13. Dynamic Multimodal Optimization: A Preliminary Study
    Cheng S, Lu H, Guo Y, et al. 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 279-285.

  14. mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems
    Pourpanah F, Wang R, Wang X, et al. 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019: 673-679.

  15. Brain Storm Optimization Algorithms: More Questions than Answers
    Cheng S, Lu H, Lei X, et al, Eds. Brain Storm Optimization Algorithms. Springer, Cham, 2019: 3-32.

  16. Brain Storm Optimization Algorithms: Concepts, Principles and Applications
    Cheng S, Shi Y, Eds. Springer, 2019.

2018:

  1. Spark Clustering Computing Platform based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization
    Duan Q, Sun L, Shi Y. International Conference on Parallel Problem Solving from Nature. Springer, Cham, 2018: 424-435.