Co-operative co-evolutionary genetic algorithms for multi-objective topology design

被引：0
|
作者：
Maneeratana, Kuntinee [1 ]
Boonlong, Kittipong [1 ]
Chaiyaratana, Nachol [2 ]
机构：
[1] Chulalongkorn University, Thailand
[2] King Mongkut's Institute of Technology North Bangkok, Thailand
来源：
Computer-Aided Design and Applications | 2005年 / 2卷 / 1-4期
关键词：
Co-evolution - Continuum topology design - Evolutionary Multi-objectives - Heat conduction problems - Multiple-objectives - Nondominated solutions - Search performance - Topology design;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：487 / 496
相关论文
共 50 条
  • [41] Mass Data Query Optimization Based on Multi-objective Co-evolutionary Algorithm
    Ting, Zhang
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017), 2017, 118 : 952 - 957
  • [42] Genetic diversity as an objective in multi-objective evolutionary algorithms
    Toffolo, A
    Benini, E
    EVOLUTIONARY COMPUTATION, 2003, 11 (02) : 151 - 167
  • [43] An Agent-Based Co-Evolutionary Multi-Objective Algorithm for Portfolio Optimization
    Drezewski, Rafal
    Doroz, Krzysztof
    SYMMETRY-BASEL, 2017, 9 (09):
  • [44] Multi-objective topology optimization using evolutionary algorithms
    Kunakote, Tawatchai
    Bureerat, Sujin
    ENGINEERING OPTIMIZATION, 2011, 43 (05) : 541 - 557
  • [45] Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems
    Zhao, Zhihao
    Gu, Fangqing
    Cheung, Yiu-ming
    2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2020,
  • [46] Parallelizing Multi-objective Evolutionary Genetic Algorithms
    Shinde, G. N.
    Jagtap, Sudhir B.
    Pani, Subhendu Kumar
    WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL II, 2011, : 1534 - 1537
  • [47] Representative selection for cooperative co-evolutionary genetic algorithms
    Xiao-yan, Sun
    Dun-wei, Gong
    Guo-sheng, Hao
    SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2006, 4247 : 18 - 25
  • [48] A Novel Co-evolutionary Approach for Constrained Genetic Algorithms
    Kieffer, Emmanuel
    Guzek, Mateusz
    Danoy, Gregoire
    Bouvry, Pascal
    Nagih, Anass
    PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION), 2016, : 47 - 48
  • [49] The benefits of co-evolutionary Genetic Algorithms in voyage optimisation
    Khan, Saima
    Grudniewski, Przemyslaw
    Muhammad, Yousaf Shad
    Sobey, Adam J.
    OCEAN ENGINEERING, 2022, 245
  • [50] Co-evolutionary multi-agent system with sexual selection mechanism for multi-objective optimization
    Drezewski, Rafal
    Siwik, Leszek
    2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 769 - +
12345