A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems-Reference-Cited by-同舟云学术

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A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems

Published:2022-07 Issue: Volume:72 Page:101096
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Li Fan,Li Yingli,Cai Xiwen,Gao Liang^ORCID

Funder

Huazhong University of Science and Technology

National Key Research and Development Program of China

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference64 articles.

1. A modified particle swarm optimizer;Shi,1998

2. Multi-population techniques in nature inspired optimization algorithms: a comprehensive survey;Ma;Swarm Evol. Comput.,2019

3. Multiobjective evolutionary algorithms: a survey of the state of the art;Zhou;Swarm Evol. Comput.,2011

4. A repository of real-world datasets for data-driven evolutionary multiobjective optimization;He;Complex Intell. Syst.,2019

5. Metamodel-assisted multidisciplinary design optimization of a radial compressor;Aissa;Int. J. Turbomach. Propuls. Power,2019

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