A Comprehensive Review of Particle Swarm Optimization

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Xehetasun bibliografikoak
Argitaratua izan da:International Journal of Engineering Research in Africa vol. 23 (Apr 2016), p. 141
Egile nagusia: Benuwa, Ben Bright
Beste egile batzuk: Ghansah, Benjamin, Wornyo, Dickson Keddy, Adabunu, Sefakor Awurama
Argitaratua:
Trans Tech Publications Ltd.
Sarrera elektronikoa:Citation/Abstract
Full Text - PDF
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100 1 |a Benuwa, Ben Bright 
245 1 |a A Comprehensive Review of Particle Swarm Optimization 
260 |b Trans Tech Publications Ltd.  |c Apr 2016 
513 |a Journal Article 
520 3 |a   Particle swarm optimization (PSO) is a heuristic global optimization method. PSO was motivated by the social behavior of organisms, such as bird flocking, fish schooling and human social relations. Its properties of low constraint on the continuity of objective function and the ability to adapt various dynamic environments, makes PSO one of the most important swarm intelligence algorithms and ostensibly the most commonly used optimization technique. This survey presents a comprehensive investigation of PSO and in particular, a proposed theoretical framework to improve its implementation. We hope that this survey would be beneficial to researchers studying PSO algorithms and would also serve as the substratum for future research in the study area, particularly those pursuing their career in artificial intelligence. In the end, some important conclusions and possible research directions of PSO that need to be studied in the future are proposed. 
700 1 |a Ghansah, Benjamin 
700 1 |a Wornyo, Dickson Keddy 
700 1 |a Adabunu, Sefakor Awurama 
773 0 |t International Journal of Engineering Research in Africa  |g vol. 23 (Apr 2016), p. 141 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1781591627/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/1781591627/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch