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 |
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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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