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A hybrid particle swarm optimization (PSO) with chi-square and stable mutation jump strategy

Anum, Raazia and Imran, Muhammad and Hahsim, Rathiah and Mahmood, Azhar and Majeed, Saqib (2016) A hybrid particle swarm optimization (PSO) with chi-square and stable mutation jump strategy. International Journal of Advanced and Applied Sciences, 3 (12). pp. 49-54. ISSN 2313626X

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Particle Swarm is a heuristic technique based on collective behavior of birds. Several researches depicts that the PSO suffers from untimely convergence. To defeat the issue of untimely convergence in PSO several solutions are proposed to increase the performance in term of accuracy. This paper suggests a new hybrid mutation operator which used Chi-square and stable distribution. The hybrid mutation operator leads the swarm from local minima to global minima for better solution. To validate the new hybrid scheme, a 12 benchmark optimization functions are used in experiment and compared the result with pervious 6 variants of PSO, proposed variant achieved better results than previous 6 variants.

Item Type: Article
Uncontrolled Keywords: Chi-square distribution; cost value; global best particle; global minima; test functions; stable distribution
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:24
Last Modified: 13 Aug 2018 03:24
URI: http://eprints.uthm.edu.my/id/eprint/9039
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