A novel binary particle swarm optimization

Particle swarm optimization (PSO) as a novel computational intelligence technique, has succeeded in many continuous problems. But in discrete or binary version there are still some difficulties. In this paper a novel binary PSO is proposed. This algorithm proposes a new definition for the velocity v...

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Bibliographic Details
Published in2007 Mediterranean Conference on Control and Automation pp. 1 - 6
Main Authors Khanesar, M.A., Teshnehlab, M., Shoorehdeli, M.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2007
Subjects
Binary Particle Swarm Optimization
Birds
Computational intelligence
Computational modeling
Design optimization
Discrete Optimization
Educational institutions
Linear programming
Marine animals
Multidimensional systems
Particle swarm optimization
Performance analysis
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Summary:Particle swarm optimization (PSO) as a novel computational intelligence technique, has succeeded in many continuous problems. But in discrete or binary version there are still some difficulties. In this paper a novel binary PSO is proposed. This algorithm proposes a new definition for the velocity vector of binary PSO. It will be shown that this algorithm is a better interpretation of continuous PSO into discrete PSO than the older versions. Also a number of benchmark optimization problems are solved using this concept and quite satisfactory results are obtained.
ISBN:1424412811
9781424412815
DOI:10.1109/MED.2007.4433821