Study of the strategy for agricultural machinery maintenance in China based on the improved genetic-bee colony algorithm-Reference-Cited by-同舟云学术

Study of the strategy for agricultural machinery maintenance in China based on the improved genetic-bee colony algorithm

Published:2023-01-07 Issue:3 Volume:14 Page:2275-2289
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Zhou Kai,Ni Zhiyong,Yin Yongcheng,Yang Bo,Li Tianhua,Hou Jialin^ORCID

Funder

China Postdoctoral Science Foundation

National key research and development plan “smart agricultural machinery and equipment” key special projects: greenhouse intelligent fine production technology and equipment research and development

National Characteristic Vegetable Industry Technology System Project

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04485-6.pdf

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4. Hu YG, Liu Y, Wang Z et al (2020) A two-stage dynamic capacity planning approach for agricultural machinery maintenance service with demand uncertainty. Biosys Eng 190:201–217

5. Li Y, Yao X, Liu M (2020) Multiobjective optimization of cloud manufacturing service composition with improved particle swarm optimization algorithm. Math Probl Eng 2020:1–17

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