DocumentCode
2283176
Title
DEPSO: hybrid particle swarm with differential evolution operator
Author
Zhang, Wen-Jun ; Xie, Xiao-Feng
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
4
fYear
2003
fDate
5-8 Oct. 2003
Firstpage
3816
Abstract
A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide the bell-shaped mutations with consensus on the population diversity along with the evolution, while keeping the self-organized particle swarm dynamics, is proposed. Then it is applied to a set of benchmark functions, and the experimental results illustrate its efficiency.
Keywords
evolutionary computation; mathematical operators; optimisation; bell-shaped mutations; differential evolution operator; hybrid particle swarm; particle swarm optimization; population diversity; self-organized particle swarm dynamics; Acceleration; Chromium; Differential equations; Gaussian distribution; Genetic mutations; Microelectronics; Particle swarm optimization; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7952-7
Type
conf
DOI
10.1109/ICSMC.2003.1244483
Filename
1244483
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