LEADER 04345nam  22008055  450 
001 9910299569103321
005 20200701031436.0
010   $a981-10-5221-2
024 7 $a10.1007/978-981-10-5221-7
035   $a(CKB)4340000000062868
035   $a(DE-He213)978-981-10-5221-7
035   $a(MiAaPQ)EBC6286433
035   $a(MiAaPQ)EBC5591970
035   $a(Au-PeEL)EBL5591970
035   $a(OCoLC)1066181698
035   $a(PPN)202988821
035   $a(EXLCZ)994340000000062868
100   $a20170630d2018      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Optimization by Nature-Inspired Algorithms$b[electronic resource] /$fedited by Omid Bozorg-Haddad
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XV, 159 p. 34 illus., 4 illus. in color.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v720
311   $a981-10-5220-4 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA).
330   $aThis book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v720
606   $aComputational intelligence
606   $aMathematical optimization
606   $aArtificial intelligence
606   $aOperations research
606   $aDecision making
606   $aMechanics
606   $aMechanics, Applied
606   $aOptical data processing
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aTheoretical and Applied Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15001
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
615  0$aComputational intelligence.
615  0$aMathematical optimization.
615  0$aArtificial intelligence.
615  0$aOperations research.
615  0$aDecision making.
615  0$aMechanics.
615  0$aMechanics, Applied.
615  0$aOptical data processing.
615 14$aComputational Intelligence.
615 24$aOptimization.
615 24$aArtificial Intelligence.
615 24$aOperations Research/Decision Theory.
615 24$aTheoretical and Applied Mechanics.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
676   $a006.38
702   $aBozorg-Haddad$b Omid$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299569103321
996   $aAdvanced Optimization by Nature-Inspired Algorithms$92535405
997   $aUNINA