A Survey on Multimodal Multiobjective Optimization Algorithm

With the diversification of industrial production and daily life needs, traditional single modal multi-objective optimization algorithms are no longer able to meet complex decision-making requirements. Multimodal multi-objective optimization algorithms (MMOPAs) provide decision- makers with more options by offering multiple feasible Pareto optimal solution sets. This article provides a detailed analysis of the research background and related concepts of multimodal multi-objective optimization algorithms. It analyzes the current development status of multimodal multi-objective optimization algorithms, introduces commonly used benchmark problems and evaluation indicators, and finally explaines future research directions.