Study on diversity of population in genetic algorithms

被引：0
|
作者：
机构：
来源：
Kong Zhi Li Lun Yu Ying Yong | / 1卷 / 17-23期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Theoretical study on diversity of population in parallel genetic algorithms
    Pan, MQ
    He, GP
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 472 - 475
  • [2] Analysis of the diversity of population and convergence of genetic algorithms based on Negentropy
    Zhang Lianying & Wang AnminManagement School
    JournalofSystemsEngineeringandElectronics, 2005, (01) : 215 - 219
  • [3] A new approach to prevent the decrease of population diversity in genetic algorithms
    Sansarci, Engin
    Aktel, Abdullah
    2021 7TH INTERNATIONAL CONFERENCE ON ENGINEERING AND EMERGING TECHNOLOGIES (ICEET 2021), 2021, : 873 - 876
  • [4] Maintaining Genetic Diversity in Multimodal Evolutionary Algorithms using Population Injection
    Mueller-Bady, Robin
    Kappes, Martin
    Medina-Bulo, Inmaculada
    Palomo-Lozano, Francisco
    PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION), 2016, : 95 - 96
  • [5] Increasing diversity in genetic algorithms
    Watson, T
    Messer, P
    DEVELOPMENTS IN SOFT COMPUTING, 2001, : 116 - 123
  • [6] Fuzzy connectives based crossover operators to model genetic algorithms population diversity
    Herrera, F
    Lozano, M
    Verdegay, JL
    FUZZY SETS AND SYSTEMS, 1997, 92 (01) : 21 - 30
  • [7] A diversity study in Genetic Algorithms for Job Shop Scheduling Problems
    Brizuela, CA
    Sannomiya, N
    GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 1999, : 75 - 82
  • [8] Ensuring population diversity in genetic algorithms: A technical note with application to the cell formation problem
    Nsakanda, Aaron Luntala
    Price, Wilson L.
    Diaby, Moustapha
    Gravel, Marc
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 178 (02) : 634 - 638
  • [9] A new selection operator for genetic algorithms that balances between premature convergence and population diversity
    Hussain, Abid
    Cheema, Salman A.
    CROATIAN OPERATIONAL RESEARCH REVIEW, 2020, 11 (01) : 107 - 119
  • [10] Non-universal suffrage selection operators favor population diversity in genetic algorithms
    Divina, F
    Keijzer, M
    Marchiori, E
    GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS, 2003, 2724 : 1574 - 1575
12345