LEADER 03671nam  22005895  450 
001 9910767559603321
005 20200629175906.0
010   $a981-15-0306-0
024 7 $a10.1007/978-981-15-0306-1
035   $a(CKB)4100000009837036
035   $a(MiAaPQ)EBC5975969
035   $a(DE-He213)978-981-15-0306-1
035   $a(PPN)24376815X
035   $a(EXLCZ)994100000009837036
100   $a20191109d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplications of Firefly Algorithm and its Variants $eCase Studies and New Developments /$fedited by Nilanjan Dey
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (xiii, 266 pages) $cillustrations
225 1 $aSpringer Tracts in Nature-Inspired Computing,$x2524-552X
311   $a981-15-0305-2 
327   $aFirefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review -- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes -- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand -- Structural damage identification using adaptive hybride volutionary Firefly algorithm -- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.
330   $aThe book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc.
410  0$aSpringer Tracts in Nature-Inspired Computing,$x2524-552X
606   $aComputational intelligence
606   $aAlgorithms
606   $aMathematical optimization
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
606   $aContinuous Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26030
606   $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018
615  0$aComputational intelligence.
615  0$aAlgorithms.
615  0$aMathematical optimization.
615 14$aComputational Intelligence.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aContinuous Optimization.
615 24$aAlgorithms.
676   $a006.3
702   $aDey$b Nilanjan$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910767559603321
996   $aApplications of Firefly Algorithm and its Variants$93656177
997   $aUNINA