A dual-population cooperative evolutionary algorithm based on contribution degree for large-scale many-objective optimization

doi:10.1016/j.engappai.2026.114737

A dual-population cooperative evolutionary algorithm based on contribution degree for large-scale many-objective optimization

2026-04-08

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DOI：10.1016/j.engappai.2026.114737

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Abstract

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• A novel dual-population LSMOEA based on decision variable analysis is proposed. • Two contribution degrees are introduced to quantify variables’ contribution in MOPs. • An adaptive resource allocation mechanism based on contribution degrees is adopted. • Reference population-based strategy and individual exchange mechanism are designed.

Keywords:

dual-population

contribution degree

many-objective optimization

evolutionary algorithm

adaptive resource allocation

A dual-population cooperative evolutionary algorithm based on contribution degree for large-scale many-objective optimization

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