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010   $a981-15-7797-8
024 7 $a10.1007/978-981-15-7797-0
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035   $a(DE-He213)978-981-15-7797-0
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035   $a(PPN)250212773
035   $a(EXLCZ)994100000011384340
100   $a20200811d2021      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSocio-Inspired Optimization Methods for Advanced Manufacturing Processes /$fby Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (X, 128 p. 45 illus., 22 illus. in color.) 
225 1 $aSpringer Series in Advanced Manufacturing,$x1860-5168
311   $a981-15-7796-X 
327   $aIntroduction -- 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.
330   $aThis book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods. .
410  0$aSpringer Series in Advanced Manufacturing,$x1860-5168
606   $aManufactures
606   $aArtificial intelligence
606   $aComputational intelligence
606   $aMathematical optimization
606   $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
615  0$aManufactures.
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
615  0$aMathematical optimization.
615 14$aManufacturing, Machines, Tools, Processes.
615 24$aArtificial Intelligence.
615 24$aComputational Intelligence.
615 24$aOptimization.
676   $a631.45015118
700   $aShastri$b Apoorva$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225937
702   $aNargundkar$b Aniket$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aKulkarni$b Anand J$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484827103321
996   $aSocio-Inspired Optimization Methods for Advanced Manufacturing Processes$92846330
997   $aUNINA