DMaOEA-C: Decomposition-based many-objective evolutionary algorithm with the -constraint framework.

Information Sciences(2020)

引用 11|浏览14
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摘要
•An improved DMOEA-εC named DMaOEA-εC is proposed for MOPs and MaOPs.•A two-stage procedure is presented to generate widely spread upper bound vectors.•Two mechanisms are put forward to achieve a good spread of solutions over the PF.•A two-side update rule is proposed to speed the convergence of a population.•Statistical results show the superiority performance of DMaOEA-εC.
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关键词
Many-objective optimization,ε-Constraint framework,Two-stage upper bound vectors generation,Boundary points maintenance,Distance-based global replacement,Two-side update rule
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