Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search-Reference-Cited by-同舟云学术

Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search

Published:2021-06-17 Issue: Volume: Page:1-18
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Wenjie¹^ORCID,Wu Zeping¹^ORCID,Wang Donghui¹^ORCID,Wang Pengyu¹^ORCID,Zhang Weihua¹^ORCID,Okolo Patrick N.²³^ORCID,Bennett Gareth J.²^ORCID

Affiliation:

1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, People’s Republic of China

2. School of Engineering, Trinity College Dublin, The University of Dublin, Dublin, Ireland

3. School of Engineering, Computing, and Mathematics, Oxford Brookes University, Oxford, UK

Funder

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Research Project of National University of Defense Technology

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1928109

Reference32 articles.

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5. Chen, Q., B. Liu, Q. Zhang, and J. J. Liang. 2014. Problem Definitions and Evaluation Criteria for CEC 2015 Special Session on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization. Technical Report, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Nanyang Technological University, Singapore. http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared Documents/CEC-2015/Expensive Problems/CEC15-single objective optimization competition-expensive.pdf.

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