抄録
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.