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Socio - Inspired Optimization Methods for Advanced Manufacturing Processes

By: Contributor(s): Material type: TextTextPublication details: Pune Springer 2021Edition: 1Description: x,128 HBISBN:
  • 9789811577963
Subject(s): 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 Books MIT-WPU Basement Reference 006.3/ SHA (Browse shelf(Opens below)) Available Faculty of Computer Science 208770

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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