Coevolutionary Comprehensive Learning Particle Swarm Optimizer

被引：0
|
作者：
Liang, J. J. [1 ]
Shang Zhigang [1 ]
Li Zhihui [1 ]
机构：
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a Coevolutionary Comprehensive Learning Particle Optimizer (Co-CLPSO) is proposed for solving constrained real-parameter optimization problems. In this novel algorithm, a coevolutionary schedule and a novel constraint-handling mechanism are employed. Two swarms with different thresholds are constructed and they exchange information in the evolution process. Different with the existing constraints handling methods, the particles are adaptively assigned to explore different constraints according to their difficulties. These new mechanisms are combined in Comprehensive Learning Particle Swarm Optimizer (CLPSO) and Sequential Quadratic Programming (SQP) method is combined to improve its local search ability. The performance of the proposed Co-CLPSO on the set of benchmark functions provided by CEC2010 [1] is reported.
引用
收藏
页数：8
相关论文
共 50 条
  • [21] An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme
    Chen, Chengcheng
    Wang, Xianchang
    Yu, Helong
    Zhao, Nannan
    Wang, Mingjing
    Chen, Huiling
    COMPLEXITY, 2020, 2020
  • [22] CONCENTRIC CIRCULAR ANTENNA ARRAY SYNTHESIS USING COMPREHENSIVE LEARNING PARTICLE SWARM OPTIMIZER
    Elsaidy, S.
    Dessouky, M.
    Khamis, S.
    Albagory, Y.
    PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2012, 29 : 1 - 13
  • [23] A Fuzzy Particle Swarm Optimizer for Unsupervised Learning
    Fajr, Rkia
    Bouroumi, Abdelazjz
    2014 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA'14), 2014,
  • [24] A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem
    Wu, Qing
    Zhang, Chunjiang
    Zhang, Mengya
    Yang, Fajun
    Gao, Liang
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (03) : 1190 - 1209
  • [25] Dynamic multi-swarm differential learning particle swarm optimizer
    Chen, Yonggang
    Li, Lixiang
    Peng, Haipeng
    Xiao, Jinghua
    Wu, Qingtao
    SWARM AND EVOLUTIONARY COMPUTATION, 2018, 39 : 209 - 221
  • [26] Hybrid learning particle swarm optimizer with genetic disturbance
    Liu, Yanmin
    Niu, Ben
    Luo, Yuanfeng
    NEUROCOMPUTING, 2015, 151 : 1237 - 1247
  • [27] Demonstrator Selection in a Social Learning Particle Swarm Optimizer
    Cheng, Ran
    Jin, Yaochu
    2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 3103 - 3110
  • [28] Learning Automata-based Particle Swarm Optimizer
    Zhang, JunQi
    Zhu, XiXun
    Zhou, MengChu
    2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 2641 - 2646
  • [29] Bifurcated particle swarm optimizer with topology learning particles
    Vafashoar, Reza
    Morshedlou, Hossein
    Meybodi, Mohammad Reza
    APPLIED SOFT COMPUTING, 2022, 114
  • [30] An Adaptive Learning Particle Swarm Optimizer for Function Optimization
    Li, Changhe
    Yang, Shengxiang
    2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, 2009, : 381 - 388
12345