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- Title
A self-adaptive alternating optimization algorithm based on particle swarm optimization and differential evolution.
- Authors
Jin-tao, ZHAI; Xing-bao, GAO
- Abstract
To overcome particle swarm optimization algorithm's premature convergence and improve the search ability of differential evolution, a hybrid optimization algorithm PSO-DE was proposed. This algorithm alternately used PSO and DE by a self-adaptive probability. Six benchmark functions are used in the test, and the experimental results show that PSO-DE is a powerful global optimization algorithm with rapid converence speed and higher accuracy.
- Subjects
ADAPTIVE control systems; ALGORITHMS; MATHEMATICAL optimization; PARTICLE swarm optimization; DIFFERENTIAL evolution; GLOBAL optimization
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2012, Vol 25, Issue 3, p379
- ISSN
1006-8341
- Publication type
Article