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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Panpan Zhang, Hang Yin, Ye Tian, Xingyi Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-01-01
coleção:	Complex & Intelligent Systems
Assuntos:	Large-scale multiobjective optimization Sparse optimization Evolutionary algorithm Adjoint feature selection Sparse distribution
Acesso em linha:	https://doi.org/10.1007/s40747-024-01752-1
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!