Affiliation of Author(s):机电学院
Journal:SYMMETRY-BASEL
Key Words:orthogonal initialization mechanism multi-swarm PSO algorithm adaptive cooperation mechanism
Abstract:A novel orthogonal multi-swarm cooperative particle swarm optimization (PSO) algorithm with a particle trajectory knowledge base is presented in this paper. Different from the traditional PSO algorithms and other variants of PSO, the proposed orthogonal multi-swarm cooperative PSO algorithm not only introduces an orthogonal initialization mechanism and a particle trajectory knowledge base for multi-dimensional optimization problems, but also conceives a new adaptive cooperation mechanism to accomplish the information interaction among swarms and particles. Experiments are conducted on a set of benchmark functions, and the results show its better performance compared with traditional PSO algorithm in aspects of convergence, computational efficiency and avoiding premature convergence.
ISSN No.:2073-8994
Translation or Not:no
Date of Publication:2017-01-01
Co-author:杨俊,Wang, Yingcong
Correspondence Author:Zhu Haihua