An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning

In this paper, we propose a new and effective multi-objective optimization algorithm based on a modified harmony search. The proposed method employs reverse learning in the harmony vector updating equation in order to enhance the global searching ability. Moreover, it adopts a harmony anchoring scheme so that unnecessary exploration is avoided. Experimental studies carried on eight benchmark problems show quite satisfactory results and indicate the higher performance of the proposed algorithm in comparison with traditional multi-objective optimization algorithms. Finally, it has been applied to solve the image segmentation problem.