Socio - Inspired Optimization Methods for Advanced Manufacturing Processes

By:

Shastri,A

Contributor(s):

Nargundkar,A

Material type: Text

TextPublication details: Pune Springer 2021Edition: 1Description: x,128 HBISBN:

9789811577963

Subject(s):

Artificial Intelligence

DDC classification:

006.3/ SHA

Summary: 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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Item type	Current library	Collection	Call number	Status	Notes	Barcode
Books	MIT-WPU Basement	Reference	006.3/ SHA (Browse shelf(Opens below))	Available	Faculty of Computer Science	208770

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XNRF-2248327 2025-03-06

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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