Task scheduling based on genetic algorithm for robotic system in 5G manufacturing industry

With the development of 5G technology, the robotic system has been bought into industrials. Even manufacturers plan the task flow by using project management. An error may occur and make the tasks overlap because they use the traditional scheduling method. It may waste much time between the tasks,...

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Main Authors: Anwar Apandi, Nur Ilyana, Wan, Wing Sheng, Muhammad, N. A.
格式: Article
語言:English
出版: Penerbit Universiti, UTeM 2022
在線閱讀:http://eprints.utem.edu.my/id/eprint/27023/2/6095-ARTICLE%20TEXT-17479-2-10-20220801.PDF
http://eprints.utem.edu.my/id/eprint/27023/
https://ijeeas.utem.edu.my/ijeeas/article/view/6095/4024
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