Socio-Inspired Optimization Methods for Advanced Manufacturing Processes - Anand J. Kulkarni,Apoorva Shastri,Aniket Nargundkar
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 statistica ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Anand J. Kulkarni, Apoorva Shastri, Aniket Nargundkar |
|---|---|
| Julkaisija | Springer Nature Singapore |
| Series | Springer Series in Advanced Manufacturing |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9789811577994 |