A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information-Reference-Cited by-同舟云学术

A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information

Published:2023-08 Issue:8 Volume:53 Page:5071-5083
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Wei Feng-Feng¹^ORCID,Chen Wei-Neng¹^ORCID,Zhang Jun²^ORCID

Affiliation:

1. School of Computer Science and Engineering and the State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China

2. Department of Electrical and Electronic Engineering, Hanyang University, Ansan, South Korea

Funder

National Natural Science Foundation of China

Guangdong Regional Joint Foundation Key Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10186109/10093887.pdf?arnumber=10093887

Reference52 articles.

1. Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems

2. A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization

3. Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints

4. Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions

5. Carbonate and silicate phase reactions during ceramic firing

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