文献类型：期刊文献

英文题名：Adaptive particle swarm optimization for continuous domain

作者：Qi, Chengming[1]

第一作者：亓呈明

通讯作者：Qi, C.

机构：[1] College of Automation, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2011

卷号：204-210

起止页码：1139-1142

外文期刊名：Advanced Materials Research

收录：EI(收录号：20111213782572)

语种：英文

外文关键词：Local search (optimization) - Particle swarm optimization (PSO) - Random processes

摘要：An Adaptive particle swarm optimization algorithm is proposed. Algorithm combines with pareto local search (PLS) method and adaptively adjusts flying time. During the search process, our algorithm can enhance the local search ability of particle swarm optimization (PSO) thought adding random perturbation to local search. The flying time of every particle in our algorithm can adaptively adjust with the evolutionary generations. Some optimization tests of the standard benchmark function confirm that our method has a stronger ability of global optimization.