Publications and Codes

  1. Peng H*, Luo Z (Student), Fang T (Student), Zhang Q. Micro Many-Objective Evolutionary Algorithm with Knowledge Transfer[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. Early Access Code
  2. Peng H*, Pi C (Student), Xiong J (Student), Fan D, Shen F. A dynamic multi-objective evolutionary algorithm with variable stepsize and dual prediction strategies[J]. Future Generation Computer Systems, 2024, 161: 390-403. Code
  3. Peng H*, Xia W (Student), Luo Z (Student), Deng C, Wang H, Wu Z. A multimodal multi-objective differential evolution with series-parallel combination and dynamic neighbor strategy[J]. Information Sciences, 2024, 678: 120999. Code
  4. Peng H*, Xiong J (Student), Pi C (Student), Zhou X, Wu Z. A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting[J]. Swarm and Evolutionary Computation, 2024, 89: 101621. Code
  5. Luo Z (Student), Xiong J* (Student), Peng H*, Zhan G (Student), Zhang Q, Wang H, Zhou X, Li W, Huang Y. A micro dynamic multi-objective evolutionary algorithm for small-scale smart greenhouse with low-power microprocessor[C]//Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024). ACM, 2024: 687-690. Code
  6. Peng H*, Zhang S (Student), Li L (Student), Qu B, Yue X, Wu Z. Multi-strategy multi-modal multi-objective evolutionary algorithm using macro and micro archive sets[J]. Information Sciences, 2024, 663: 120301. Code
  7. Peng H*, Kong F (Student), Zhang Q. Micro multiobjective evolutionary algorithm with piecewise strategy for embedded-processor-based industrial optimization[J]. IEEE Transactions on Cybernetics, 2024, 54(8): 4763-4774. Code
  8. Han Y (Student), Peng H*, Mei C (Student), Cao L, Deng C, Wang H, Wu Z. Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning[J]. Knowledge-Based Systems, 2023, 277: 110801. Code
  9. Peng H*, Li L (Student), Mei C (Student), Deng C, Yue X, Wu Z. Gene expression programming with dual strategies and neighborhood search for symbolic regression problems[J]. Applied Soft Computing, 2023, 145: 110616. Code
  10. Peng H*, Mei C (Student), Zhang S (Student), Luo Z (Student), Zhang Q, Wu Z. Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses[J]. Swarm and Evolutionary Computation, 2023, 82: 101356. Code
  11. Peng H*, Xu Z (Student), Qian J (Student), Dong X, Li W, Wu Z. Evolutionary constrained optimization with hybrid constraint-handling technique[J]. Expert Systems With Applications, 2023, 211: 118660. Code
  12. He Y (Student), Peng H*, Deng C, Dong X, Wu Z, Guo Z. Reference Point Reconstruction-based Firefly Algorithm for Irregular Multi-Objective Optimization[J]. Applied Intelligence, 2023, 53: 962-983. Code
  13. Han Y (Student), Peng H*, Jiang A, Wang C (Student), Kong F (Student), Li M. A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problems[C]//Proceedings of the International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2021). Springer, Singapore, 2021: 145-159.
  14. Peng H*, Qian J (Student), Kong F (Student), Fan D, Shao P, Wu Z. Enhancing firefly algorithm with sliding window for continuous optimization problems[J]. Neural Computing and Applications, 2022, 34: 13733-13756. Code
  15. Peng H*, Xiao W (Student), Han Y (Student), Jiang A, Xu Z (Student), Li M, Wu Z. Multi-strategy firefly algorithm with selective ensemble for complex engineering optimization problems[J]. Applied Soft Computing, 2022, 120: 108634. Code
  16. Peng H*, Wang C (Student), Han Y (Student), Xiao W (Student), Zhou X, Wu Z. Micro multi-strategy multi-objective artificial bee colony algorithm for microgrid energy optimization[J]. Future Generation Computer Systems, 2022, 131: 59-74. Code
  17. 彭虎, 李源汉 (Student), 邓长寿, 吴志健. 多策略调和的布谷鸟搜索算法[J]. 计算机工程, 2022, 48(8): 85-97. Code
  18. Peng H*, Han Y (Student), Deng C, Wang J, Wu Z. Multi-strategy co-evolutionary differential evolution for mixed-variable optimization[J]. Knowledge-Based Systems, 2021, 229: 107366. Code
  19. Zhu W (Student), Peng H*, Leng C, Deng C, Wu Z. Surrogate-assisted firefly algorithm for breast cancer detection[J]. Journal of Intelligent & Fuzzy Systems, 2021, 40(5): 8915-8926. Code
  20. Peng H, Lu H (Student), Deng C*. Enhancing cuckoo search algorithm with complement strategy[J].International Journal of Innovative Computing and Applications, 2022, 13(5/6):314-324.
  21. Peng H*, Zeng Z (Student), Deng C, Wu Z. Multi-strategy serial cuckoo search algorithm for global optimization[J]. Knowledge-Based Systems, 2021, 214: 106729. Code
  22. Peng H*, Zhu W (Student), Deng C, Wu Z. Enhancing firefly algorithm with courtship learning[J]. Information Sciences, 2021, 543: 18-42. Code
  23. Peng H, Deng C*, Wu Z. Optimizing the inventory routing problem using adaptive differential evolution algorithm[J]. International Journal of Industrial Engineering: Theory, Applications and Practice, 2020, 27(5): 678-693.
  24. Peng H, Zhu W (Student), Deng C*, Yu K, Wu Z. Composite firefly algorithm for breast cancer recognition[J]. Concurrency and Computation: Practice and Experience,2021, 33(5): e6032. Code
  25. Liu J (Student), Peng H*, Wu Z, Chen J, Deng C. Multi-strategy brain storm optimization algorithm with dynamic parameters adjustment[J]. Applied Intelligence, 2020, 50(4): 1289-1315. Code
  26. He Z (Student), Peng H*, Chen J, Deng C, Wu Z. A Spark-based differential evolution with grouping topology model for large-scale global optimization[J]. Cluster Computing, 2021, 24(1):515-535. Code
  27. Peng H, Deng C*, Wu Z. Best neighbor guided artificial bee colony algorithm for continuous optimization problems[J]. Soft computing, 2019, 23: 8723-8740. Code
  28. Peng H*, Deng C, Wu Z. SPBSO: self-adaptive brain storm optimization algorithm with pbest guided step-size[J]. Journal of Intelligent & Fuzzy Systems, 2019, 36(6): 5423–5434. Code
  29. Peng H*, He Y (Student), Deng C, Wu Z. Firefly Algorithm with Luciferase Inhibition Mechanism[J]. IEEE Access, 2019, 7:120189-120201. Code
  30. Peng H*, Peng S. Gaussian bare-bones firefly algorithm[J]. International Journal of Innovative Computing and Applications, 2019, 10(1):35-42. Code
  31. Peng H*, Deng C, Peng S. Inventory routing optimization using differential evolution with feasibility checking and local search[J]. Int. J. of Intelligent Information and Database Systems, 2019, 12(1/2):32-46.
  32. Chen J (Student), Deng C, Peng H, Tan Y, Zhou X, Wang F. Enhanced Brain Storm Optimization with Role-playing Strategy[C]// Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC 2019). IEEE, 2019:1132-1139. Code
  33. Li F (Student), Peng H, Deng C, et al. Brain Storm Optimization Algorithm based on Competition Mechanism[C]// Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC 2019). IEEE, 2019: 1140-1147.
  34. He Z (Student), Peng H, Deng C, et al. A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection[C]// Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC 2019). IEEE, 2019:1220-1227. Code
  35. Peng H*, Guo Z, Deng C, Wu Z. Enhancing differential evolution with random neighbors based strategy[J]. Journal of Computational Science, 2018, 26:501-511. Code
  36. Peng H, Deng C, Wang H, et al. Gaussian bare-bones cuckoo search algorithm[C]// Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018). ACM, 2018: 93-94.
  37. Peng H, Wu Z*, Deng C. Enhancing differential evolution with commensal learning and uniform local search[J]. Chinese Journal of Electronics, 2017, 26(4): 725-733. Code
  38. Peng H, Tan X, Deng C*, Peng S. SparkCUDE: a Spark-based differential evolution for large-scale global optimization[J]. Int. J. of High Performance Systems Architecture, 2017, 7(4):211-222. Code
  39. Peng H, Wu Z*, Shao P, Deng C. Dichotomous Binary Differential Evolution for Knapsack Problems[J]. Mathematical Problems in Engineering, vol. 2016, Article ID 5732489, 12 pages, 2016. doi:10.1155/2016/5732489. Code
  40. Peng H, Wu Z*. Heterozygous differential evolution with Taguchi local search[J]. Soft Computing, 2015,19(11):3273-3291.
  41. 彭虎, 吴志健, 周新宇, 邓长寿. 基于三角的骨架差分进化算法[J]. 计算机研究与发展, 2015, 52(12):2776-2788.
  42. 彭虎, 吴志健, 周新宇, 邓长寿. 基于精英区域学习的动态差分进化算法[J]. 电子学报, 2014, 42(8):1522-1530.