A Review of Evolutionary Multi-modal Multi-objective Optimization
This is an incremental review paper that organizes and synthesizes prior work for researchers in evolutionary computation and optimization.
This paper reviews existing studies on evolutionary multi-modal multi-objective optimization to address the difficulty in surveying the field due to inconsistent terminology, and it clarifies open issues in this research area.
Multi-modal multi-objective optimization aims to find all Pareto optimal solutions including overlapping solutions in the objective space. Multi-modal multi-objective optimization has been investigated in the evolutionary computation community since 2005. However, it is difficult to survey existing studies in this field because they have been independently conducted and do not explicitly use the term "multi-modal multi-objective optimization". To address this issue, this paper reviews existing studies of evolutionary multi-modal multi-objective optimization, including studies published under names that are different from "multi-modal multi-objective optimization". Our review also clarifies open issues in this research area.