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

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 Grav...

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Bibliographic Details
Main Authors: Mohd Riduwan, Ghazali, Khairul Hamimah, Abas, Badaruddin, Muhammad, Nor Azlina, Ab. Aziz, Kian, Sheng Lim
Format: Conference or Workshop Item
Language:English
English
Published: International Information Institute 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/12015/2/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/13/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/
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http://umpir.ump.edu.my/id/eprint/12015/2/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/13/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/

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