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- Title
Particle swarm optimization with time factor.
- Authors
Zhou Xi-hu; Gao Xing-bao
- Abstract
Particle swarm optimization algorithm is random search optimization algorithm on the basis of group intelligence, which can effectively optimize the various functions. To overcome the premature and slow convergence, an improved particle swarm optimization is presented by inducing a time factor to adjust the convergence rate. Numerical experiments show that the improved algorithm not only has faster convergence, more accurate and stable, but also avert the local extreme values effectively.
- Subjects
SWARM intelligence; MATHEMATICAL optimization; TIME factors (Learning); ALGORITHMS; STOCHASTIC convergence
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2011, Vol 24, Issue 2, p303
- ISSN
1006-8341
- Publication type
Article