Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 66, Issue 2, Pages 122-134Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2013.01.016
Keywords
Evolutionary algorithms; Particle swarm; Optimization; Swarm intelligence; Chaos
Categories
Funding
- Grant Agency of the Czech Republic [GACR 13-08195S]
- development of human resources in research and development of latest soft computing methods and their application in practice project [CZ.1.07/2.3.00/20.0072]
- Operational Programme Education for Competitiveness
- ESF
- European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]
- Internal Grant Agency of Tomas Bata University [IGA/FAI/2012/037]
- state budget of the Czech Republic
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In this paper, the utilization of chaos pseudorandom number generators based on three different chaotic maps to alter the behavior and overall performance of PSO algorithm is proposed. This paper presents results of testing the performance and behavior of the proposed algorithm on typical benchmark functions that represent unimodal and multimodal problems. The promising results are analyzed and discussed. (c) 2013 Elsevier Ltd. All rights reserved.
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