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Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems.
・ISBN 978-0-367-53261-1 paper GB£ 49.99
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| 著者・編者 | Kakandikar, Ganesh M. / Thakur, Dinesh G. (eds.), |
|---|---|
| シリーズ | (Artificial Intelligence AI in Engineering) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2024 |
| ページ数 | 262 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-62393＞ |
解説
The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters.
This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included.
Researchers, students, academicians, and industry professionals will find this reference title very useful.