A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization-Reference-Cited by-同舟云学术

A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization

Author:

Yu Kunjie¹^ORCID,Zhang Dezheng¹^ORCID,Liang Jing¹^ORCID,Qu Boyang²^ORCID,Liu Mengnan³,Chen Ke¹^ORCID,Yue Caitong¹^ORCID,Wang Ling⁴^ORCID

Affiliation:

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

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

3. State Key Laboratory of Power System of Tractor, Luoyang, China

4. Department of Automation, Tsinghua University, Beijing, China

Funder

Program for Science & Technology Innovation Teams in Universities of Henan Province

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

Program for Science & Technology Innovation Talents in Universities of Henan Province

Natural Science Foundation of Henan Province

National Natural Science Fund for Outstanding Young Scholars of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

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