DocumentCode
445547
Title
PSO under an adaptive scheme
Author
Breaban, Mihaela ; Luchian, Henri
Author_Institution
Fac. of Comput. Sci., Alexandru loan Cuza Univ., Iasi, Romania
Volume
2
fYear
2005
fDate
2-5 Sept. 2005
Firstpage
1212
Abstract
This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an algorithm called improved PSO, IPSO) and auto-adaptation (an algorithm called adaptive PSO, APSO). Experiments show that APSO and IPSO outperform the basic PSO on benchmark problems, proving their efficiency especially on multimodal functions.
Keywords
adaptive systems; convergence; mathematical operators; particle swarm optimisation; adaptive system; auto-adaptation; multimodal functions; particle swarm optimization; premature convergence; self-adaptive algorithm; spatial expansion; swarm-inspired operators; Adaptive control; Ant colony optimization; Birds; Convergence; Educational institutions; Evolutionary computation; Genetic algorithms; Marine animals; Particle swarm optimization; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1554828
Filename
1554828
Link To Document