A Survey on Evolutionary Constrained Multiobjective Optimization-Reference-Cited by-同舟云学术

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A Survey on Evolutionary Constrained Multiobjective Optimization

Published:2023-04 Issue:2 Volume:27 Page:201-221
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Liang Jing¹^ORCID,Ban Xuanxuan¹,Yu Kunjie¹^ORCID,Qu Boyang²^ORCID,Qiao Kangjia¹^ORCID,Yue Caitong¹^ORCID,Chen Ke¹^ORCID,Tan Kay Chen³^ORCID

Affiliation:

1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, China

2. School of Electrical and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China

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

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Training Program of Young Backbone Teachers in Colleges and Universities in Henan Province, China

Henan Provincial Young Talents Lifting Project, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/10089199/09723472.pdf?arnumber=9723472

Reference206 articles.

1. Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems

2. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

3. Constrained multi-objective optimization using constrained non-dominated sorting combined with an improved hybrid multi-objective evolutionary algorithm

4. Landscape-Based Differential Evolution for Constrained Optimization Problems

5. MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems

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