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

• 主要な著者: Zuwairie, Ibrahim, Badaruddin, Muhammad, Kamarul Hawari, Ghazali, Lim, Kian Sheng, Sophan Wahyudi, Nawawi, Zulkifli, Md. Yusof
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: IEEE 2012
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: 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

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...