Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization-Reference-Cited by-同舟云学术

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Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization

Published:2024-02 Issue: Volume:152 Page:111194
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Li Fei^ORCID,Shang Zhengkun,Liu Yuanchao^ORCID,Shen Hao,Jin Yaochu^ORCID

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. A grid-based evolutionary algorithm for many-objective optimization;Yang;IEEE Trans. Evol. Comput.,2013

2. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

3. MOEA/D: A multiobjective evolutionary algorithm based on decomposition;Zhang;IEEE Trans. Evol. Comput.,2007

4. R. Hernández Gómez, C.A. Coello Coello, Improved metaheuristic based on the R2 indicator for many-objective optimization, in: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015, pp. 679–686.

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

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