Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective-Reference-Cited by-同舟云学术

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Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective

Published:2024-07-14 Issue: Volume: Page:455-458
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Yang Yudong¹^ORCID,Wu Kai¹^ORCID,Teng Xiangyi¹^ORCID,Wang Handing¹^ORCID,Yu He¹^ORCID,Liu Jing¹^ORCID

Affiliation:

1. Xidian University, Xi' an, China

Funder

National Natural Science Foundation of China

Young Talent Fund of Association for Science and Technology in Shaanxi, China

Guangdong High-level Innovation Research Institution Project

Guangzhou Key Research and Development Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3654232

Reference13 articles.

1. An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization

2. Liang Feng, Kai Qin, Abhishek Gupta, Yuan Yuan, Yew-Soon Ong, and Xu Chi. 2020. IEEE WCCI 2020 competition on evolutionary multi-task optimization. http://www.bdsc.site/websites/MTO_competition_2020/MTO_Competition_WCCI_2020.html.

3. Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay-Chen Tan, and Alex Kai Qin. 2018. Evolutionary multitasking via explicit autoencoding. IEEE transactions on cybernetics 49, 9 (2018), 3457--3470.

4. Abhishek Gupta Yew-Soon Ong and Liang Feng. 2015. Multifactorial evolution: toward evolutionary multitasking.

5. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, and Jun Zhang. 2022. A bi-objective knowledge transfer framework for evolutionary many-task optimization. IEEE Transactions on Evolutionary Computation (2022).

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