Dual-Stage Dual-Population Evolutionary Algorithm for Many-Objective Optimization

被引：0
|
作者：
Cao, Jiale [1 ]
Yang, Lei [1 ]
Tian, Jinglin [1 ]
Li, Huade [1 ]
Li, Kangshun [1 ]
机构：
[1] College of Mathematics and Informatics, South China Agricultural University, Guangzhou,510642, China
来源：
Computer Engineering and Applications | 2024年 / 60卷 / 09期
关键词：
D O I：
10.3778/j.issn.1002-8331.2307-0381
中图分类号：
学科分类号：
摘要：
34
引用
下载
收藏
页码：159 / 171
相关论文
共 50 条
  • [21] A dual-population constrained multi-objective evolutionary algorithm with variable auxiliary population size
    Jing Liang
    Zhaolin Chen
    Yaonan Wang
    Xuanxuan Ban
    Kangjia Qiao
    Kunjie Yu
    Complex & Intelligent Systems, 2023, 9 : 5907 - 5922
  • [22] An effective and efficient evolutionary algorithm for many-objective optimization
    Xue, Yani
    Li, Miqing
    Liu, Xiaohui
    INFORMATION SCIENCES, 2022, 617 : 211 - 233
  • [23] Evolutionary Many-Objective Optimization
    Jin, Yaochu
    Miettinen, Kaisa
    Ishibuchi, Hisao
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2018, 22 (01) : 1 - 2
  • [24] An Evolutionary Many-Objective Optimization Algorithm Based on Population Decomposition and Reference Distance
    Zheng, Zhe
    Liu, Hai-Lin
    Chen, Lei
    2016 SIXTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2016, : 388 - 393
  • [25] A region search evolutionary algorithm for many-objective optimization
    Liu, Yongqi
    Qin, Hui
    Zhang, Zhendong
    Yao, Liqiang
    Wang, Chao
    Mo, Li
    Ouyang, Shuo
    Li, Jie
    INFORMATION SCIENCES, 2019, 488 : 19 - 40
  • [26] Evolutionary Many-Objective Optimization
    Ishibuchi, Hisao
    Sato, Hiroyuki
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 614 - 661
  • [27] Evolutionary many-objective optimization
    Ishibuchi, Hisao
    Tsukamoto, Noritaka
    Nojima, Yusuke
    2008 3RD INTERNATIONAL WORKSHOP ON GENETIC AND EVOLVING FUZZY SYSTEMS, 2008, : 45 - 50
  • [28] A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem
    Zhao, Jiale
    Zhang, Huijie
    Yu, Huanhuan
    Fei, Hansheng
    Huang, Xiangdang
    Yang, Qiuling
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [29] A many-objective optimization algorithm with dual criteria and mixed distribution correction strategy
    Zhang, Zhixia
    Wen, Jie
    Cai, Xingjuan
    Cui, Zhihua
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (21):
  • [30] A multi-population evolutionary algorithm with single-objective guide for many-objective optimization
    Liu, Haitao
    Du, Wei
    Guo, Zhaoxia
    INFORMATION SCIENCES, 2019, 503 : 39 - 60
12345