| 書目名稱 | Socio-Inspired Optimization Methods for Advanced Manufacturing Processes |
| 編輯 | Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarn |
| 視頻video | http://file.papertrans.cn/871/870227/870227.mp4 |
| 概述 | Discusses several advanced manufacturing processes along with mathematical formulations, and includes numerous illustrations.Offers solutions to the complex parameter optimization of these advanced ma |
| 叢書名稱 | Springer Series in Advanced Manufacturing |
| 圖書封面 |  |
| 描述 | .This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.?. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Micro Machining; Electric Discharge Machining; Socio-Inspired Optimization; Cohort Intelligence; Artific |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-7797-0 |
| isbn_softcover | 978-981-15-7799-4 |
| isbn_ebook | 978-981-15-7797-0Series ISSN 1860-5168 Series E-ISSN 2196-1735 |
| issn_series | 1860-5168 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
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