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《Journal of Hubei University for Nationalities(Natural Science Edition)》 2018-01
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Global Convergence of the Immune Particle Swarm Optimization Based on the Adaptive Search

PING Huan;BAO Lanying;JIANG Jingqing;College of Mathematics,Inner Mongolia University for the Nationalities;College of Computer Science and Technology,Inner Mongolia University for the Nationalities;  
Convergence analysis of algorithm not only provides the theory support but also improves the application efficiency.On the basis of random search algorithm,the paper gives some ways of proving convergence of particle swarm optimization(PSO),and corrects two mistakes that have appeared in a paper.The convergence proof of PSO extends into the immune particle swarm optimization algorithm,and proves the algorithm convergence of immune particle swarm optimization algorithm based on the adaptive search strategy provided by Zhang Chao.It has a great help to the improvement and use of the immune particle swarm optimization algorithm.
【Fund】: 国家自然科学基金项目(61672301 61662057);; 符号计算与知识工程教育部重点实验室(吉林大学)2016年度开放基金项目(93K172016K05)
【CateGory Index】: TP18
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