An adjoint feature-selection-based evolutionary algorithm for sparse large-scale multiobjective optimization

Abstract Sparse large-scale multiobjective optimization problems (sparse LSMOPs) are characterized by an enormous number of decision variables, and their Pareto optimal solutions consist of a majority of decision variables with zero values. This property of sparse LSMOPs presents a great challenge i...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Panpan Zhang, Hang Yin, Ye Tian, Xingyi Zhang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2025-01-01
Sarja:	Complex & Intelligent Systems
Aiheet:	Large-scale multiobjective optimization Sparse optimization Evolutionary algorithm Adjoint feature selection Sparse distribution
Linkit:	https://doi.org/10.1007/s40747-024-01752-1
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