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Article type: Research Article
Authors: Tuppadung, Yutthapong | Kurutach, Werasak; *
Affiliations: Faculty of Information Sciences, Nakhonratchasima College, Nakhonratchasima, 30000, Thailand
Correspondence: [*] Corresponding author: Department of Information Science and Technology, Mahanakorn University of Technology, Bangkok 10530, Thailand. E-mail: yutt_t@pea.co.th and werasak@mut.ac.th
Abstract: In this paper, we empirically study the performance of particle swarm optimization (PSO) using a nonlinear inertia weight compared with the performance using a constriction factor. Adjusting the parameters of nonlinear inertia weight directly affects the performance of PSO. Five benchmark functions are used for evaluation. Under all testing functions, the PSO with nonlinear inertia weights consistently converges faster than the PSO with constriction factors.
Keywords: Nonlinear inertia weight, particle swarm optimization, constriction factor, PSO, nonlinear decreasing inertia weight
DOI: 10.3233/KES-2010-0211
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 15, no. 2, pp. 65-70, 2011
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