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

• 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/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf; http://umpir.ump.edu.my/id/eprint/26988/; https://doi.org/10.1109/CIMSim.2012.29
• Institution: Universiti Malaysia Pahang

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...