A novel binary particle swarm optimization

Mojtaba Ahmadieh Khanesar, Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2007 Mediterranean Conference on Control and Automation, MED
Publication date2007
Article number4433821
ISBN (Print)142441282X, 9781424412822
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 Mediterranean Conference on Control and Automation, MED - Athens, Greece
Duration: 27 Jul 200729 Jul 2007

Conference

Conference2007 Mediterranean Conference on Control and Automation, MED
CountryGreece
CityAthens
Period27/07/200729/07/2007

Keywords

  • Binary particle swarm optimization
  • Computational intelligence
  • Discrete optimization

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