Multimodal multi-objective optimization algorithm based on hierarchical environment selection strategy.

ABSTRACT: The article proposes an optimization algorithm using a hierarchical environment selection strategyto solve the deficiencies of current multimodal multi-objective optimization algorithms in obtaining the completeness and convergence of Pareto optimal Sets (PSs). Firstly, the algorithm in this article is framed by a differential evolutionary algorithm (DE) and uses a special crowding distance to design a neighborhood-based individual variation strategy, which also ensures the diversity, and then special crowding distance is used to help populations with non-dominated sorting. In the stage of environmental selection, a strategy of hierarchical selection of individuals was designed, which selects sorted non-dominant ranked individual layer by layer according to the ratio, which allows potentia

SUBMITTER: Wang X 

PROVIDER: S-EPMC11323021 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature