Particle swarm optimization algorithm driven by multichaotic number generator

作     者：Pluhacek, Michal Senkerik, Roman Zelinka, Ivan 

作者机构：Tomas Bata Univ Zlin Fac Appl Informat Zlin 76001 Czech Republic Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava 70833 Czech Republic 

出 版 物：《SOFT COMPUTING》 (Soft Comput.)

年 卷 期：2014年第18卷第4期

页      面：631-639页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Grant Agency of the Czech Republic-GACR P103/13/08195S, (CZ.1.07/2.3.00/20.0072) Internal Grant Agency of Tomas Bata University, (IGA/FAI/2013/012) VB-Technical University of Ostrava European Social Fund, ESF, (SP2013/114) European Regional Development Fund, ERDF, (CZ.1.05/2.1.00/03.0089) 

主　　题：Particle swarm Optimization Swarm intelligence Chaos Evolutionary algorithms 

摘      要：In this paper, the utilization of different chaotic systems as pseudo-random number generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos-based PRNGs are used alternately within one run of the PSO algorithm and dynamically switched over when a certain criterion is met. By using this unique technique, it is possible to improve the performance of PSO algorithm as it is demonstrated on different benchmark functions.