A Basic Study of Multi-Objective Artificial Bee Colony Algorithm Based on Division of Search Functions
Seijun Morita, Shuhei Takamura, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda · IEEJ Transactions on Electronics Information and Systems · 2015
In this letter, we propose a new multi-objective optimization method based on Artificial Bee Colony Algorithm. The proposed method takes advantage of division of search functions that characterize Artificial Bee Colony Algorithm. The performance of the proposed method is verified by numerical simulation using three typical benchmark problems.