An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization-Reference-Cited by-同舟云学术

An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization

Published:2023-12 Issue:12 Volume:53 Page:7769-7782
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,Mao Wentao²,Hu Xiao-Min³,Zhang Jun⁴^ORCID

Affiliation:

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

2. College of Computer and Information Technology, Henan Normal University, Xinxiang, China

3. Department of Computer Science, Guangdong University of Technology, Guangzhou, China

4. College of Artificial Intelligence, Nankai University, Tianjin, China

Funder

National Natural Science Foundation of China

Guangdong Regional Joint Foundation Key Project

National Research Foundation of Korea

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/ielx7/6221021/10321818/10220197.pdf?arnumber=10220197

Reference54 articles.

1. Edge–cloud co-evolutionary algorithms for distributed data-driven optimization problems;guo;IEEE Trans Cybern,2022

2. Surrogate-assisted evolutionary computation: Recent advances and future challenges

3. Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

4. Distributed and Expensive Evolutionary Constrained Optimization with On-Demand Evaluation

5. Time Complexity Analysis of Support Vector Machines (SVM) in LibSVM

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