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Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment

Zalili, Musa and Nurul Izzatie Husna, Fauzi and Mohd Hafiz, Mohd Hassin and M. N. M., Kahar and Watada, Junzo (2018) Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment. Advanced Science Letters, 24 (10). pp. 7593-7597. ISSN 1936-6612

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Abstract

The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in a dynamic environment. Based on the experimental results of 50 datasets, show that GbLN-PSO has the ability to find the quality solution in a dynamic environment.

Item Type: Article
Additional Information: JCR® Category: Multidisciplinary Sciences. Quartile: Q2
Uncontrolled Keywords: PSO, Optimization, Big Data Environment, Local Neighborhood
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 22 Nov 2018 01:33
Last Modified: 22 Nov 2018 01:33
URI: http://umpir.ump.edu.my/id/eprint/22888
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