A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization-Reference-Cited by-同舟云学术

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A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization

Published:2024-09 Issue: Volume:135 Page:108505
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhu Qingling,Kang Gaoli^ORCID,Wu Xunfeng,Lin Qiuzhen^ORCID,Tang Huimei,Chen Jianyong

Publisher

Elsevier BV

Reference68 articles.

1. Keel: a software tool to assess evolutionary algorithms for data mining problems;Alcalá-Fdez;Soft Comput.,2009

2. The balance between proximity and diversity in multiobjective evolutionary algorithms;Bosman;IEEE Trans. Evol. Comput.,2003

3. Multi-Variable Functional Interpolation and Adaptive Networks;Broomhead,1988

4. Scheduling semiconductor testing facility by using cuckoo search algorithm with reinforcement learning and surrogate modeling;Cao;IEEE Trans. Autom. Sci. Eng.,2018

5. A reference vector guided evolutionary algorithm for many-objective optimization;Cheng;IEEE Trans. Evol. Comput.,2016

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