A Performance Enhanced Niching Multi-objective Bat algorithm for Multimodal Multi-objective Problems

摘要

A modified multi-objective bat algorithm called Performance Enhanced Niching Multi-objective Bat algorithm (PEN-MOBA) is proposed to solve multimodal multi-objective optimization problems. It adopts a dynamic ring topology to form stable niches for maintaining the population diversity, and integrates the stagnation detection strategy to improve the searching ability. The algorithm is compared with a number of state-of-the-art multimodal multi-objective optimizers on twelve multimodal multi-objective test functions. The experimental results verify that the proposed algorithm is effective multimodal multi-objective optimizers and outperforms the existing algorithms on the test functions.