Symbiosis Co-evolutionary Population Topology Differential Evolution

被引:0
|
作者
Sun, Yu [1 ,2 ]
机构
[1] Guangxi Univ, Xingjian Coll Sci & Liberal Arts, Nanning, Peoples R China
[2] Guangxi Expt Ctr Informat Sci, Guilin, Peoples R China
关键词
Symbiosis; Multi-species coevolution; Population topology; Differential evolution;
D O I
10.1109/CIS.2016.128
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
DE is an evolutionary computation technique which is of simple concept and easy implementation. A number of significant modifications of DE have been proposed in recent years, including a few approaches referring to the idea of population topology of DE. The present paper proposes a novel symbiosis co-evolutionary model based on the population topology of DE, namely SCoPTDE. In the model, based on a specific topology, the population is divided into small species. The individual symbiotic evolution between and in species. The presented modification is tested on commonly used benchmark problems CEC2005 for unconstrained optimization and compared with other DE methods with different population topology. The comparisons show that SCoPTDE improves the performance of DE, offering higher solution quality and stronger robustness.
引用
收藏
页码:530 / 533
页数:4
相关论文
共 50 条
  • [21] Optimization Method of Ship Branch Pipe Route Based on Co-evolutionary Differential Evolution Algorithm
    Lin, Yan
    Bian, Xuanyi
    Dong, Zongran
    Ji, Zhuoshang
    [J]. Ship Building of China, 2023, 64 (04) : 194 - 206
  • [22] A Co-evolutionary Multi-population Evolutionary Algorithm for Dynamic Multiobjective Optimization
    Xu, Xin-Xin
    Li, Jian-Yu
    Liu, Xiao-Fang
    Gong, Hui-Li
    Ding, Xiang-Qian
    Jeon, Sang-Woon
    Zhan, Zhi-Hui
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2024, 89
  • [23] The evolution of musicality and cross-domain co-evolutionary interactions
    Podlipniak, Piotr
    [J]. MUSICAE SCIENTIAE, 2024,
  • [24] Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries
    Wang, Chuan
    Xu, Minyi
    Zhang, Qinjin
    Jiang, Ruizheng
    Feng, Jinhong
    Wei, Yi
    Liu, Yancheng
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 200
  • [25] Co-evolutionary Particle Swarm Optimization Based on Population Entropy
    Hu Chengyu
    Zhao Man
    Wang Yongji
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5, 2008, : 70 - +
  • [26] Truss topology optimization for mass and reliability considerations—co-evolutionary multiobjective formulations
    David Greiner
    Prabhat Hajela
    [J]. Structural and Multidisciplinary Optimization, 2012, 45 : 589 - 613
  • [27] Co-operative co-evolutionary genetic algorithms for multi-objective topology design
    Maneeratana, Kuntinee
    Boonlong, Kittipong
    Chaiyaratana, Nachol
    [J]. Computer-Aided Design and Applications, 2005, 2 (1-4): : 487 - 496
  • [28] A CO-EVOLUTIONARY THEORY OF SLEEP
    KORTH, C
    [J]. MEDICAL HYPOTHESES, 1995, 45 (03) : 304 - 310
  • [29] An Interactive Immune Co-Evolutionary Design Approach for the Spinning of Differential Fibers
    Li, Ying-Ying
    Ren, Li-Hong
    Ding, Yong-Sheng
    Hao, Kuang-Rong
    Liang, Xiao
    Wang, Hua-Ping
    [J]. 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2011, : 1857 - 1862
  • [30] A parallel co-evolutionary metaheuristic
    Bachelet, V
    Talbi, EG
    [J]. PARALLEL AND DISTRIBUTED PROCESSING, PROCEEDINGS, 2000, 1800 : 628 - 635