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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
A cooperative approach to participle swam optimization
IEEE Transactions on Evolutionary Computation, Volume 8, No. 3, Year 2004
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Description
The particle swarm optimizer (PSO) is a stochastic, population-based optimization technique that can be applied to a wide range of problems, including neural network training. This paper presents a variation on the traditional PSO algorithm, called the cooperative particle swarm optimizer, or CPSO, employing cooperative behavior to significantly improve the performance of the original algorithm. This is achieved by using multiple swarms to optimize different components of the solution vector cooperatively. Application of the new PSO algorithm on several benchmark optimization problems shows a marked improvement in performance over the traditional PSO. © 2004 IEEE.
Authors & Co-Authors
van den Bergh, Frans
South Africa, Pretoria
University of Pretoria
Engelbrecht, Andries Petrus
United States, New York
Ieee
Statistics
Citations: 2,025
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1109/TEVC.2004.826069
ISSN:
1089778X
Study Design
Cross Sectional Study