A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions-Reference-Cited by-同舟云学术

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions

Published:2024-04 Issue:2 Volume:8 Page:2050-2064
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Wu Haofeng¹^ORCID,Chen Qingda¹^ORCID,Jin Yaochu¹^ORCID,Ding Jinliang¹^ORCID,Chai Tianyou¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

Funder

National Key R&D Plan Project

National Natural Science Foundation of China

111 Project 2.0

Xinliao Talent Program of Liaoning Province

Liaoning Province Central Leading Local Science and Technology Development Special Project

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10480102/10449371.pdf?arnumber=10449371

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5. An Evolutionary Algorithm With Constraint Relaxation Strategy for Highly Constrained Multiobjective Optimization

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