Socio-Inspired Optimization Methods for Advanced Manufacturing Processes [[electronic resource] /] / by Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni
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| Autore: |
Shastri Apoorva
|
| Titolo: |
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes [[electronic resource] /] / by Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (X, 128 p. 45 illus., 22 illus. in color.) |
| Disciplina: | 631.45015118 |
| Soggetto topico: | Manufactures |
| Artificial intelligence | |
| Computational intelligence | |
| Mathematical optimization | |
| Manufacturing, Machines, Tools, Processes | |
| Artificial Intelligence | |
| Computational Intelligence | |
| Optimization | |
| Persona (resp. second.): | NargundkarAniket |
| KulkarniAnand J | |
| Nota di contenuto: | Introduction -- A Brief Review of Socio-Inspired Metaheuristics -- Multi Cohort Intelligence Algorithm -- Optimization of Electric Discharge Machining (EDM) -- Optimization of Abrasive Water Jet Machining (AWJM) -- Optimization of Micro Milling Process -- Optimization of Micro Drilling Process -- Optimization of Cutting Forces in Micro Drilling of CFRP Composites for Aerospace Applications -- Optimization of Micro Turning Process -- Optimization of Machining Process Parameters of Titanium Alloy Under (MQL) Environment. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Socio-Inspired Optimization Methods for Advanced Manufacturing Processes |
| ISBN: | 981-15-7797-8 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910484827103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Series in Advanced Manufacturing, . 1860-5168