计算机工程2012，Vol.38Issue(16)：167-169,173,4.DOI:10.3969/j.issn.1000-3428.2012.16.043
保持多样性的自适应动态粒子群算法及其应用
Adaptive Dynamic Particle Swarm Algorithm with Diversity Preservation and Its Application
摘要
Abstract
A double population particle swarm optimization with adaptive diversity preservation is proposed considering the population diversity in dynamic environment. The ranger idea of group search is introduced to particle swarm optimization, where subswarm B updates its speeds and positions with different methods according to the diversity of particle swarm and subswarm A and B exchange their optima. These mechanisms extend the search range and improve the swarm diversity. The scheme is tested on benchmark functions with dynamic complex changes and the simulation results show the proposed algorithm is effective in dynamic environments. It is also used to simulate group following behavior.关键词
动态粒子群优化/多样性/双种群/群搜索/群体动画Key words
dynamic particle swarm optimization/ diversity/ double population/ group search/ group animation分类
信息技术与安全科学引用本文复制引用
逄金梅,郑向伟,王智昊..保持多样性的自适应动态粒子群算法及其应用[J].计算机工程,2012,38(16):167-169,173,4.基金项目
山东省高等学校科技计划基金资助项目(J10LG08) （J10LG08）
山东省优秀中青年科学家科研奖励基金资助项目(BS2010DX033) （BS2010DX033）
