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MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem

Mohd Riduwan, Ghazali and Khairul Hamimah, Abas and Badaruddin, Muhammad and Nor Azlina, Ab. Aziz and Kian, Sheng Lim (2017) MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem. In: International Conference on Information in Business and Technology Management (I2BM 2016), 26-28 January 2016 , Melaka, Malaysia. pp. 1-6.. ISSN 1343-4500 (print); 1344-8994 (online)

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Abstract

Recently, we have introduced Multi-Leader Particle Swarm Optimization (MLPSO) algorithm for multi-objective optimization problem. Better convergence and diversity have been observed over the conventional Multi-Objective Particle Swarm Optimization. In this paper, the same concept is extended to Gravitational Search Algorithm (GSA). The performance is investigated by solving a set of ZDT test problem. An analysis also is performed by varying the value of initial gravitational constant.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Gravitational search algorithm; multi-objective optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 18 Mar 2016 03:44
Last Modified: 15 Oct 2018 07:24
URI: http://umpir.ump.edu.my/id/eprint/12015
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