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DEPSO: hybrid particle swarm with differential evolution operator
Wen-Jun Zhang Xiao-Feng Xie
Inst. of Microelectron., Tsinghua Univ., Beijing, China;

This paper appears in: Systems, Man and Cybernetics, 2003. IEEE International Conference on
Publication Date: 5-8 Oct. 2003
Volume: 4, On page(s): 3816- 3821 vol.4
ISSN: 1062-922X
ISBN: 0-7803-7952-7
INSPEC Accession Number: 7914427
Current Version Published: 2003-11-10

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.

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