Universiti Teknologi Malaysia Institutional Repository

MLGSA: multi-leader gravitational search algorithm for multi-objective optimization problem

Ghazali, M. R. and Abas, K. H. and Muhammad, B. and Aziz, N. A. A. and Lim, K. S. (2017) MLGSA: multi-leader gravitational search algorithm for multi-objective optimization problem. Journal of Telecommunication, Electronic and Computer Engineering, 9 (1-4). pp. 119-123. ISSN 2180-1843

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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 was investigated by solving a set of ZDT test problem. An analysis was also performed by varying the value of initial gravitational constant.

Item Type:Article
Uncontrolled Keywords:About Gravitational search algorithm, Multi-objective optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:76564
Deposited By: Fazli Masari
Deposited On:30 Apr 2018 13:33
Last Modified:30 Apr 2018 13:33

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