Scopus
Chaos embedded particle swarm optimization algorithms
Chaos, Solitons and Fractals · Mayıs 2009
Makale Bilgileri
DergiChaos, Solitons and Fractals
Yayın TarihiMayıs 2009
Cilt / Sayfa40 · 1715-1734
Scopus ID2-s2.0-67349261353
Özet
This paper proposes new particle swarm optimization (PSO) methods that use chaotic maps for parameter adaptation. This has been done by using of chaotic number generators each time a random number is needed by the classical PSO algorithm. Twelve chaos-embedded PSO methods have been proposed and eight chaotic maps have been analyzed in the benchmark functions. It has been detected that coupling emergent results in different areas, like those of PSO and complex dynamics, can improve the quality of results in some optimization problems. It has been also shown that, some of the proposed methods have somewhat increased the solution quality, that is in some cases they improved the global searching capability by escaping the local solutions. © 2007 Elsevier Ltd. All rights reserved.
Yazarlar (3)
1
Bilal Alatas
2
Erhan Akin
ORCID: 0000-0001-6476-9255
3
A. Bedri Ozer
Kurumlar
Firat Üniversitesi
Elazig Turkey
Metrikler
462
Atıf
3
Yazar