Evolutionary swarm cooperative optimization in dynamic environments

被引：0
|
作者：
Rodica Ioana Lung
Dumitru Dumitrescu
机构：
[1] Babeş-Bolyai University,Faculty of Economics and Business Administration
[2] Babeş-Bolyai University,Department of Computer Science
来源：
Natural Computing | 2010年 / 9卷
关键词：
Dynamic environments; Crowding differential evolution; Particle swarm optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A hybrid approach called Evolutionary Swarm Cooperative Algorithm (ESCA) based on the collaboration between a particle swarm optimization algorithm and an evolutionary algorithm is presented. ESCA is designed to deal with moving optima of optimization problems in dynamic environments. ESCA uses three populations of individuals: two EA populations and one Particle Swarm Population. The EA populations evolve by the rules of an evolutionary multimodal optimization algorithm being used to maintain the diversity of the search. The particle swarm confers precision to the search process. The efficiency of ESCA is evaluated by means of numerical experiments.
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页码：83 / 94
页数：11
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