A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems

Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted evolutionary algorithms usually adopt the regression models and the binary classification models to guide the evolution o...

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Autors principals:	Ruoyu Wang, Yuee Zhou, Hanning Chen, Lianbo Ma, Meng Zheng
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2021-01-01
Col·lecció:	IEEE Access
Matèries:	Coevolution expensive optimization multi-classification surrogate-assisted evolutionary algorithm
Accés en línia:	https://ieeexplore.ieee.org/document/9628117/
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