Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution-Reference-Cited by-同舟云学术

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution

Published:2023-12 Issue:6 Volume:7 Page:1605-1620
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Liu Xin¹^ORCID,Sun Jianyong¹^ORCID,Zhang Qingfu²^ORCID,Wang Zhenkun³^ORCID,Xu Zongben¹^ORCID

Affiliation:

1. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China

2. City University of Hong Kong, Kowloon Tong, Hong Kong

3. Department of Computer Science and Engineering, School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Technology Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10325841/10068274.pdf?arnumber=10068274

Reference42 articles.

1. Success-history based parameter adaptation for Differential Evolution

2. Improving the search performance of SHADE using linear population size reduction