A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search-Reference-Cited by-同舟云学术

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A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search

Published:2024-06-30 Issue: Volume:8 Page:1-7
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
Short-container-title:

Author:

Yang Ning¹,Liu Hai-Lin²,Chen Lei²,Wang Yuping³,Cheung Yiu-ming⁴

Affiliation:

1. School of Automation, Guangdong University of Technology,Guangzhou,China

2. School of Mathematics and Statistics, Guangdong University of Technology,Guangzhou,China

3. School of Computer Science and Technology, Xidian University,Xi'an,China

4. Hong Kong Baptist University,Department of Computer Science,Hong Kong,China

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611954.pdf?arnumber=10611954

Reference29 articles.

1. Bi-level multi-objective traffic network optimisation with sustainability perspective

2. A multi-objective bi-level location planning problem for stone industrial parks

3. A bi-level optimization approach for optimal operation of distribution networks with retailers and micro-grids;Fateh;Journal of Operation and Automation in Power Engineering,2020

4. A bilevel programming model for autonomous intersection control and trajectory planning

5. A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications

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