Improving two-layer encoding of evolutionary algorithms for sparse large-scale multiobjective optimization problems

Abstract Sparse large-scale multiobjective problems (LSMOPs) are characterized as an NP-hard issue that undergoes a significant presence of zero-valued variables in Pareto optimal solutions. In solving sparse LSMOPs, recent studies typically employ a specialized two-layer encoding, where the low-lev...

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Bibliografiset tiedot

Päätekijät:	Jing Jiang, Huoyuan Wang, Juanjuan Hong, Zhe Liu, Fei Han
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2024-06-01
Sarja:	Complex & Intelligent Systems
Aiheet:	Evolutionary algorithms Two-layer encoding Sparse large-scale multiobjective problems Mutual preference calculation Two-way matching
Linkit:	https://doi.org/10.1007/s40747-024-01489-x
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