Socio-Inspired Optimization Methods for Advanced Manufacturing Processes - Anand J. Kulkarni,Apoorva Shastri,Aniket Nargundkar
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Anand J. Kulkarni, Apoorva Shastri, Aniket Nargundkar |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Series | Springer Series in Advanced Manufacturing |
| Izlaides gads | 2020 |
| Vāka tips | Cietais vāks |
| EAN | 9789811577963 |