Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization

Mohd Zaidi, Mohd Tumari and Zuwairie, Ibrahim and Ismail, Ibrahim and Mohd Falfazli, Mat Jusof and Faradila, Naim and Kamarul Hawari, Ghazali and Lim, Kian Sheng and Salinda, Buyamin and Anita, Ahmad (2013) Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization. In: International Conference of Modelling Identification and Control (ICMIC2013), 31 August - 2 September 2013 , Cairo, Egypt. pp. 280-285..

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Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO) has been introduced to solve multi-objective optimization problems. However, VEPSO quantitative performance measure has not been investigated. Hence, in this study, the performance of VEPSO algorithm is investigated by measuring the convergence and diversity by using standard test functions. In addition, comparisons with other optimization algorithms are also conducted. The results show that the VEPSO algorithm performs weakly in solving problems with concave, mixed, and disconnected Pareto frontier and performs badly in solving multi-modal problems.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Convergence; Diversity; Vector evaluated; Particle swarm optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 06 May 2014 07:43
Last Modified: 21 Feb 2018 01:48
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