Back to Search
Start Over
An improved particle swarm optimization algorithm combined with piecewise linear chaotic map
- Source :
-
Applied Mathematics & Computation . Jul2007, Vol. 190 Issue 2, p1637-1645. 9p. - Publication Year :
- 2007
-
Abstract
- Abstract: Particle swarm optimization (PSO) has gained increasing attention in tackling complex optimization problems. Its further superiority when hybridized with other search techniques is also shown. Chaos, with the properties of ergodicity and stochasticity, is definitely a good candidate, but currently only the well-known logistic map is prevalently used. In this paper, the performance and deficiencies of schemes coupling chaotic search into PSO are analyzed. Then, the piecewise linear chaotic map (PWLCM) is introduced to perform the chaotic search. An improved PSO algorithm combined with PWLCM (PWLCPSO) is proposed subsequently, and experimental results verify its great superiority. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 190
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 25489876
- Full Text :
- https://doi.org/10.1016/j.amc.2007.02.103