Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems

Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems

This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for multiobjective optimization problems. The proposed algorithm, which is called Vector Evaluated Gravitational Search Algorithm (VEGSA), uses a number of populations of particles. In particular, a popula...

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Bibliographic Details
Main Authors: Zuwairie, Ibrahim, Badaruddin, Muhammad, Kamarul Hawari, Ghazali, Lim, Kian Sheng, Sophan Wahyudi, Nawawi, Zulkifli, Md. Yusof
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/26988/
http://umpir.ump.edu.my/id/eprint/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf

Internet

http://umpir.ump.edu.my/id/eprint/26988/
http://umpir.ump.edu.my/id/eprint/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf

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