A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer

An adaptive variant of Comprehensive Learning Particle Swarm Optimizer (CLPSO) is proposed in this paper. The proposed method, called Fuzzy-Controlled CLPSO (FC-CLPSO), uses a fuzzy controller to tune the probability learning, inertia weight and acceleration coefficient of each particle in the swarm...

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Bibliographic Details
Published inSwarm Intelligence Based Optimization pp. 35 - 41
Main Authors Omran, Mahamed G. H., Clerc, Maurice, Salman, Ayed, Alsharhan, Salah
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 01.01.2014
SeriesLecture Notes in Computer Science
Subjects
Adaptation
Comprehensive Learning
Fuzzy Controller
Particle Swarm Optimization
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ISBN3319129694
9783319129693
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-12970-9_4

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Summary:An adaptive variant of Comprehensive Learning Particle Swarm Optimizer (CLPSO) is proposed in this paper. The proposed method, called Fuzzy-Controlled CLPSO (FC-CLPSO), uses a fuzzy controller to tune the probability learning, inertia weight and acceleration coefficient of each particle in the swarm. The FC-CLPSO is compared with CLPSO and SPSO2011 on 11 benchmark functions. The results show that FC-CLPSO generally outperformed CLPSO and SPSO2011 on most of the tested functions.
ISBN:3319129694
9783319129693
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-12970-9_4