A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization-Reference-Cited by-同舟云学术

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A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization

Published:2024-07 Issue:7 Volume:54 Page:4177-4189
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Chen Jiaxin¹^ORCID,Ding Jinliang¹^ORCID,Li Ke²^ORCID,Chen Tan Kay³^ORCID,Chai Tianyou¹^ORCID

Affiliation:

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

2. Department of Computer Science, University of Exeter, Exeter, U.K.

3. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR

Funder

National Key Research and Development Plan Project

National Natural Science Foundation of China

111 Project 2.0

Xinliao Talent Program of Liaoning Province

UKRI Future Leaders Fellowship

Royal Society

Engineering and Physical Sciences Research Council

Kan Tong Po Fellowship

Research Award and Alan TuringFellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10595515/10496817.pdf?arnumber=10496817

Reference70 articles.

1. Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems

2. Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization

3. A Bilevel Optimization Approach for Joint Offloading Decision and Resource Allocation in Cooperative Mobile Edge Computing

4. A New Differential Evolution Algorithm for Minimax Optimization in Robust Design

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