Socio-Inspired Optimization Methods for Advanced Manufacturing Processes (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Series in Advanced Manufacturing
Release date:	August 2020
First published:	2021
Authors:	Apoorva Shastri • Aniket Nargundkar • Anand J. Kulkarni
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	128
Edition:	1st ed. 2021
ISBN-13:	978-981-15-7796-3
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-15-7796-X
Barcode:	9789811577963

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