Výsledky vyhledávání - The improved coevolutionary multi-objective particle swarm algorithm

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  1. 1

    Multi-population coevolutionary dynamic multi-objective particle swarm optimization algorithm for power control based on improved crowding distance archive management in CRNs Autor Chen, Lingling, Li, Qi, Zhao, Xiaohui, Fang, Zhiyi, Peng, Furong, Wang, Jiaqi

    ISSN: 0140-3664, 1873-703X
    Vydáno: Elsevier B.V 01.09.2019
    Vydáno v Computer communications (01.09.2019)
    “… Moreover, according to the theory of penalty function and particle swarm optimization (PSO), an improved multi-objective particle swarm optimization…”
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    Journal Article
  2. 2

    Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system Autor Yao, Guangshun, Ding, Yongsheng, Jin, Yaochu, Hao, Kuangrong

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2017
    Vydáno v Soft computing (Berlin, Germany) (01.08.2017)
    “… In this study, an endocrine-based coevolutionary multi-swarm for multi-objective optimization algorithm (ECMSMOO…”
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  3. 3

    Optimization of Multi-Objective Coverage Strategy Based on Multiple Particle Swarm Coevolutionary Algorithm for Water Environment Monitoring System Autor Tian, Li Wei, Zhao, Hong Wei

    ISBN: 3038354236, 9783038354239
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Vydáno: Zurich Trans Tech Publications Ltd 01.03.2015
    Vydáno v Applied Mechanics and Materials (01.03.2015)
    “…This paper built a multi-objective optimization model and proposed an improved multi-objective particle swarm optimization algorithm called MPS2O ,which is based on Multiple Particle Swarm Co-evolutionary…”
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  4. 4

    Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming Autor Chen, Haoyang, Mori, Yasukuni, Matsuba, Ikuo

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.05.2014
    Vydáno v Applied Soft Computing (01.05.2014)
    “…[Display omitted] •We proposed a coevolutionary design method to solve the balance problem of massively multiplayer online role-playing games…”
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  5. 5

    Optimization of Energy Storage Capacity and Operation in CCHP System Based on Improved Co-Evolutionary Algorithm Autor Li, Yuanmei, Wang, Kaike, Chen, Ning, Liu, Xiaofeng, Gao, Bingtuan

    Vydáno: IEEE 01.07.2019
    “… Considering the appropriate multi-objective optimization models and looking for efficient solution algorithms for CCHP systems are the main challenge tasks…”
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