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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ruoyu Wang, Yuee Zhou, Hanning Chen, Lianbo Ma, Meng Zheng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2021-01-01
Sarja:	IEEE Access
Aiheet:	Coevolution expensive optimization multi-classification surrogate-assisted evolutionary algorithm
Linkit:	https://ieeexplore.ieee.org/document/9628117/
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