Journal
SYMMETRY-BASEL
Volume 9, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/sym9010015
Keywords
orthogonal initialization mechanism; multi-swarm PSO algorithm; adaptive cooperation mechanism
Categories
Funding
- National Nature Science Foundation of China [51575264]
- Fundamental Research Funds for the Central Universities [NS2015050]
- Qing Lan Project
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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.
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