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Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems

Badaruddin, Muhammad and Khairul Hamimah, Abas and Mohd Riduwan, Ghazali (2016) Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 961-966..

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Abstract

Previously, non-dominated solutions have been employed to improve the performance of particle swarm optimization (PSO). In this paper, we re-implement the same concept 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; non-dominated solution; ZDT
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 28 Nov 2016 01:07
Last Modified: 23 Aug 2017 02:13
URI: http://umpir.ump.edu.my/id/eprint/15520
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