Multi-spatial information joint guidance evolutionary algorithm for dynamic multi-objective optimization with a changing number of objectives-Reference-Cited by-同舟云学术

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Multi-spatial information joint guidance evolutionary algorithm for dynamic multi-objective optimization with a changing number of objectives

Published:2023-04-07 Issue:20 Volume:35 Page:15167-15199
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ma Xuemin,Sun Hao^ORCID,Hu Ziyu,Wei Lixin,Yang Jingming

Funder

National key research and development program

National Natural Science Foundation of China

Natural Science Foundation of Hebei

Science and Technology Research Projects of Hebei University

Provincial Key Laboratory Performance Subsidy Project

Hebei Province Graduate Innovation Funding Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08369-4.pdf

Reference43 articles.

1. Azzouz R, Bechikh S, Said LB (2017) A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy. Soft Comput 21:885–906. https://doi.org/10.1007/s00500-015-1820-4

2. Cao L, Xu L, Goodman ED et al (2019) Decomposition-based evolutionary dynamic multiobjective optimization using a difference model. Appl Soft Comput J 76:473–490. https://doi.org/10.1016/j.asoc.2018.12.031

3. Chen R, Li K, Yao X (2018) Dynamic multi-objectives optimization with a changing number of objectives. IEEE Trans Evol Comput 22(1):157–171. https://doi.org/10.1109/TEVC.2017.2669638

4. Cheng R, Li M, Tian Y et al (2017) A benchmark test suite for evolutionary many-objective optimization. Complex Intell Syst 3:67–81. https://doi.org/10.1007/s40747-017-0039-7

5. Deb K, Thiele L, Laumanns M, et al (2002) Scalable multi-objective optimization test problems. In: Proceedings of the 2002 congress on evolutionary computation. Honolulu, HI, USA, pp 1–6. https://doi.org/10.1109/CEC.2002.1007032

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

2. A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment;Memetic Computing;2023-11-13

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