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
Main Authors: Khanesar, M.A., Teshnehlab, M., Shoorehdeli, M.A.
Format: Conference Proceeding
Language:English
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.
DOI:10.1109/MED.2007.4433821