DocumentCode
3180604
Title
Adaptive particle swarm optimization on individual level
Author
Xie, Xiao-Feng ; Zhang, Wen-Jun ; Yang, Zhi-Lm
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
2
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
1215
Abstract
An adaptive particle swarm optimization (PSO) on individual level is presented. By analyzing the social model of PSO, a replacement criterion, based on the diversity of fitness between the current particle and the best historical experience, is introduced to maintain the social attribution of swarm adaptively by taking off inactive particles. The testing of three benchmark functions indicates that it improves the average performance effectively.
Keywords
evolutionary computation; optimisation; adaptive optimization; adaptive particle swarm optimization; evolutionary computation; fitness diversity; social model; Acceleration; Benchmark testing; Computational modeling; Cultural differences; Equations; Evolutionary computation; Feedback; Genetic algorithms; Heuristic algorithms; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180009
Filename
1180009
Link To Document