A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization

Guo, Yinan; Chen, Guoyu; Jiang, Min; Gong, Dunwei; Liang, Jing

doi:10.1109/TEVC.2022.3222844

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A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization

Author(s): Yinan Guo ¹ , Guoyu Chen ¹ , Min Jiang ² , Dunwei Gong ¹ , Jing Liang ³

Publication date (Print): December 2023

Journal: IEEE Transactions on Evolutionary Computation

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Most cited references 58

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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac, Salvador García-García, Daniel Molina … (2011)

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A faster algorithm for calculating hypervolume

P. Hingston, S. Huband, L. Barone … (2006)

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Multiobjective evolutionary algorithms: A survey of the state of the art

Ponnuthurai Suganthan, Shi-Zheng Zhao, Hui LI … (2011)

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Author and article information

Contributors

Yinan Guo: (View ORCID Profile)

Guoyu Chen: (View ORCID Profile)

Min Jiang: (View ORCID Profile)

Dunwei Gong: (View ORCID Profile)

Jing Liang: (View ORCID Profile)

Journal

Title: IEEE Transactions on Evolutionary Computation

Abbreviated Title: IEEE Trans. Evol. Computat.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1089-778X

ISSN (Electronic): 1941-0026

Publication date Created: December 2023

Publication date (Print): December 2023

Volume: 27

Issue: 6

Pages: 1750-1764

Affiliations

[1 ]School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

[2 ]Department of Cognitive Science and Technology, Xiamen University, Xiamen, China

[3 ]School of Electrical Engineering, Zhengzhou University, Zhengzhou, China

Article

DOI: 10.1109/TEVC.2022.3222844

SO-VID: 0155f3e9-cf62-45a6-bac8-e901e72d0452

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https://doi.org/10.15223/policy-029

https://doi.org/10.15223/policy-037

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A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization

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Evolutionary Cell Biology

Most cited references 58

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

A faster algorithm for calculating hypervolume

Multiobjective evolutionary algorithms: A survey of the state of the art

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