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Socio-Inspired Optimization Methods ...
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Kulkarni, Anand J.
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes/ by Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni.
作者:
Shastri, Apoorva.
其他作者:
Kulkarni, Anand J.
面頁冊數:
X, 128 p. 45 illus., 22 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Optimization. -
電子資源:
https://doi.org/10.1007/978-981-15-7797-0
ISBN:
9789811577970
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
Shastri, Apoorva.
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
[electronic resource] /by Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni. - 1st ed. 2021. - X, 128 p. 45 illus., 22 illus. in color.online resource. - Springer Series in Advanced Manufacturing,2196-1735. - Springer Series in Advanced Manufacturing,.
Introduction -- A Brief Review of Socio-Inspired Metaheuristics -- Multi Cohort Intelligence Algorithm -- Optimization of Electric Discharge Machining (EDM) -- Optimization of Abrasive Water Jet Machining (AWJM) -- Optimization of Micro Milling Process -- Optimization of Micro Drilling Process -- Optimization of Cutting Forces in Micro Drilling of CFRP Composites for Aerospace Applications -- Optimization of Micro Turning Process -- Optimization of Machining Process Parameters of Titanium Alloy Under (MQL) Environment.
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. .
ISBN: 9789811577970
Standard No.: 10.1007/978-981-15-7797-0doiSubjects--Topical Terms:
669174
Optimization.
LC Class. No.: TS1-2301
Dewey Class. No.: 670
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
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Introduction -- A Brief Review of Socio-Inspired Metaheuristics -- Multi Cohort Intelligence Algorithm -- Optimization of Electric Discharge Machining (EDM) -- Optimization of Abrasive Water Jet Machining (AWJM) -- Optimization of Micro Milling Process -- Optimization of Micro Drilling Process -- Optimization of Cutting Forces in Micro Drilling of CFRP Composites for Aerospace Applications -- Optimization of Micro Turning Process -- Optimization of Machining Process Parameters of Titanium Alloy Under (MQL) Environment.
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