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Image of Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Electronic Resource

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Shastri, Apoorva - Personal Name; Nargundkar, Aniket - Personal Name; Kulkarni, Anand J. - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001658EB0002264006.3 Sha sCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
006.3 Sha s
Publisher
Singapore : Springer Singapore., 2020
Collation
x, 128p.:Ill
Language
English
ISBN/ISSN
978-981-15-7797-0
Classification
006.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Computational Intelligence
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
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