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An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization

Published Online: 2023-05-17

Published Print: 2023-09

Authors

Gao, Mengqi

Feng, Xiang https://orcid.org/0000-0001-6083-3440
Yu, Huiqun

Li, Xiuquan
Funding

Funding for this research was provided by:

Special Fund for Information Development of Shanghai Economic and Information Commission (XX-XXFZ-02-20-2463)

Scientific Research Program of Shanghai Science and Technology Commission (21002411000)

National Natural Science Foundation of China (62276097)

Key Program of National Natural Science Foundation of China (62136003)

National Key Research and Development Program of China (2020YFB1711700)
License Information

Text and Data Mining valid from 2023-05-17

Version of Record valid from 2023-05-17
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Article History

Accepted: 12 March 2023

First Online: 17 May 2023

Declarations

:

: This paper does not contain any studies with human participants or animals performed by any of the authors.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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