LEADER 03559nam  22006015  450 
001 9910156339703321
005 20200704021936.0
010   $a9783319454030
024 7 $a10.1007/978-3-319-45403-0
035   $a(CKB)3710000000984025
035   $a(DE-He213)978-3-319-45403-0
035   $a(MiAaPQ)EBC4773796
035   $a(PPN)197457568
035   $a(EXLCZ)993710000000984025
100   $a20161224d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMetaheuristics /$fedited by Patrick Siarry
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XVI, 489 p. 181 illus., 69 illus. in color.) 
311   $a3-319-45401-3 
311   $a3-319-45403-X 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aIntroduction -- Simulated Annealing -- Tabu Search -- Search in Variable Neighborhoods -- The GRASP Search Algorithm -- Evolutionary Algorithms -- Artificial Ants -- Particle Swarms -- Other Metaheuristics -- Other Social Insect Algorithms -- Extending Evolutionary Algorithms for Multiobjective Optimization -- Extending Evolutionary Algorithms for Optimization Under Constraints -- Modeling and Comparison Methods -- Hybrid Metaheuristics for Optimizing Logistics -- Metaheuristics for Vehicle Routing Problems -- Applications in Air Traffic Management.
330   $aMetaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management. The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.
606   $aArtificial intelligence
606   $aComputational intelligence
606   $aOperations research
606   $aDecision making
606   $aMathematical optimization
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   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
615  0$aOperations research.
615  0$aDecision making.
615  0$aMathematical optimization.
615 14$aArtificial Intelligence.
615 24$aComputational Intelligence.
615 24$aOperations Research/Decision Theory.
615 24$aOptimization.
676   $a006.3
702   $aSiarry$b Patrick$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910156339703321
996   $aMetaheuristics$92252227
997   $aUNINA