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

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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 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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Springer Series in Advanced Manufacturing

Release date

August 2020

Availability

Expected to ship within 12 - 17 working days

First published

2021

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

128

Edition

1st ed. 2021

ISBN-13

978-981-15-7796-3

Barcode

9789811577963

Categories

LSN

981-15-7796-X



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