We propose a many-objective evolutionary algorithm under diversity-first selection based framework (DSFMO), which first emphasizes the diversity and then ...
Jul 18, 2024 · To this end, we propose a many-objective evolutionary algorithm under diversity-first selection based framework (DSFMO), which first emphasizes ...
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Jun 10, 2019 · In this paper, a two-round environmental selection strategy is proposed to pursue good tradeoff between population diversity and convergence for many-objective ...
A many-objective evolutionary algorithm under diversity-first selection based framework · List of references · Publications that cite this publication.
The proposed algorithm is compared with five state-of-the-art many-objective evolutionary algorithms on a large number of test problems with various ...
Jul 1, 2023 · This article proposes a many-objective evolutionary algorithm based on dual selection strategy (MaOEA/DS).
A many-objective evolutionary algorithm based on three states for ...
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Aug 19, 2024 · The algorithm deals with convergence and diversity problems in two independent and successive stages. Firstly, they introduced a non-dominated ...
This paper suggests a unified paradigm, which combines dominance- and decomposition-based approaches, for many-objective optimization. Our major purpose is to ...
A many-objective evolutionary algorithm (MaOEA) based on directional diversity (DD) and favorable convergence (FC) and the enhancement of two selection ...
This paper first provides a comprehensive analysis on the selection strategies in the current evolutionary many-objective optimization algorithms. Afterward ...