纺织高校基础科学学报Issue(1)：116-123,8.DOI:10.13338/j.issn.1006-8341.2015.01.23
融合自适应混沌差分进化的粒子群优化算法
Particle swarm optimization algorithm by integrating adaptive chaos differential evolution
摘要
Abstract
To overcome the PSO algorithm premature convergence and low convergence efficien‐cy ,a particle swarm optimization algorithm is proposed by integrating adaptive chaos differenti‐al evolution .T he adaptive chaos is firstly introduced to differential evolution algorithm in the proposed method ,then the obtained results are correction variation and correction options .Fi‐nally ,the resulting algorithm is integrated into the PSO algorithm ,such that the detect and de‐velopment capabilities of PSO and DE algorithm are effectively utilized and balanced .Moreover , the local search capability and solving performance are enhanced .Numerical experiments illus‐trate the effectiveness of the proposed algorithm .关键词
粒子群优化算法/差分进化算法/自适应混沌Key words
particle swarm optimization/differential evolution algorithm/adaptive chaos分类
信息技术与安全科学引用本文复制引用
刘召军,高兴宝..融合自适应混沌差分进化的粒子群优化算法[J].纺织高校基础科学学报,2015,(1):116-123,8.基金项目
国家自然科学基金资助项目（6127311）；中央高校基本科研业务费专项基金资助项目 （）
