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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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit Universiti, UTeM
2022
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| オンライン･アクセス: | 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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