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2020 – today
- 2024
[j6]Qi-Te Yang, Zhi-Hui Zhan, Xiao-Fang Liu, Jian-Yu Li, Jun Zhang:
Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(6): 1867-1881 (2024)- [c6]Qi-Te Yang, Liu-Yue Luo, Chun-Hua Chen, Jian-Yu Li, Jing-Hui Zhong, Jun Zhang, Zhi-Hui Zhan:
Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection. CEC 2024: 1-8 - [c5]Xin-Yu Wang
, Qi-Te Yang, Yi Jiang, Kay Chen Tan, Jun Zhang, Zhi-Hui Zhan:
Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. GECCO 2024 - 2023
- [j5]Jia-Quan Yang, Qi-Te Yang, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Sang-Woon Jeon, Jun Zhang, Zhi-Hui Zhan:
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection. IEEE Trans. Big Data 9(3): 1004-1017 (2023) - [j4]Qi-Te Yang, Zhi-Hui Zhan, Sam Kwong, Jun Zhang:
Multiple Populations for Multiple Objectives Framework With Bias Sorting for Many-Objective Optimization. IEEE Trans. Evol. Comput. 27(5): 1340-1354 (2023) - [c4]Qi-Te Yang, Liu-Yue Luo, Xin-Xin Xu, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan:
Conjugate Surrogate for Expensive Multiobjective Optimization. SSCI 2023: 920-925 - 2022
- [c3]Qi-Te Yang, Zhi-Hui Zhan, Yun Li, Jun Zhang:
Social learning particle swarm optimization with two-surrogate collaboration for offline data-driven multiobjective optimization. GECCO 2022: 49-57 - 2021
- [j3]Qite Yang, Zhenkun Wang, Jianping Luo, Qiang He:
Balancing performance between the decision space and the objective space in multimodal multiobjective optimization. Memetic Comput. 13(1): 31-47 (2021) - [j2]Juan Zou, Yongwu He, Jinhua Zheng, Dunwei Gong, Qite Yang, Liuwei Fu, Tingrui Pei:
Hierarchical preference algorithm based on decomposition multiobjective optimization. Swarm Evol. Comput. 60: 100771 (2021) - [c2]Qite Yang, Zhenkun Wang, Hisao Ishibuchi:
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. EMO 2021: 3-14 - [c1]Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2021: 413-423 - 2020
- [j1]Juan Zou, Qite Yang, Shengxiang Yang, Jinhua Zheng:
Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization. Appl. Soft Comput. 90: 106192 (2020)
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