Multimodal Multiobjective Optimization Algorithm Based on Regions
YANG Qian
HE Juanjuan
GAO Shaohuo
LIAO Yi
Abstract：Multiobjective optimization problems with multiple equivalent global Pareto solutions or at least one local Pareto so-lution are called multimodal multiobjective optimization problems.Most existing multimodal and multi-objective algorithms only fo-cus on the global Pareto solution.However,when the global Pareto solution is infeasible,the local Pareto solution is of great signifi-cance.This paper proposes a multimodal multiobjective optimization algorithm based on regions(MMO-Regions)to solve the global and local Pareto solutions.Firstly,DBSCAN algorithm is used to cluster the population into different regions adaptively.Then,the strategy of subarea optimization is proposed to update the population,which preserves the local and global Pareto solutions.The ex-perimental results show that the MMO-Regions algorithm can find global and local Pareto solutions to multimodal multiobjective op-timization problems.
Keywords：local Pareto solutionmultimodal multiobjective optimizationevolutionary algorithm
Publication Date：2025-09-20
Online Publishing Date：2025-12-23(First online date of this platform, not the publication date of the document)
Pages：7( 2386-2392 )