LEADER 04694nam  22007335  450 
001 9910254993203321
005 20200704040603.0
010   $a9783319308838
010   $a3319308831
024 7 $a10.1007/978-3-319-30883-8
035   $a(CKB)3710000000718266
035   $a(DE-He213)978-3-319-30883-8
035   $a(MiAaPQ)EBC4531673
035   $a(PPN)194078442
035   $a(EXLCZ)993710000000718266
100   $a20160523d2016      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHybrid Metaheuristics $ePowerful Tools for Optimization /$fby Christian Blum, Günther R. Raidl
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XVI, 157 p. 20 illus., 9 illus. in color.)
225 1 $aArtificial Intelligence: Foundations, Theory, and Algorithms,$x2365-3051
311 08$a9783319308821 
311 08$a3319308823 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Incomplete Solution Representations and Decoders -- Hybridization Based on Problem Instance Reduction -- Hybridization Based on Large Neighborhood Search -- Making Use of a Parallel, Non-independent, Construction of Solutions Within Metaheuristics -- Hybridization Based on Complete Solution Archives -- Further Hybrids and Conclusions. .
330   $aThis book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives. The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.
410  0$aArtificial Intelligence: Foundations, Theory, and Algorithms,$x2365-3051
606   $aArtificial intelligence
606   $aComputers
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   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
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$aComputers.
615  0$aComputational intelligence.
615  0$aOperations research.
615  0$aDecision making.
615  0$aMathematical optimization.
615 14$aArtificial Intelligence.
615 24$aTheory of Computation.
615 24$aComputational Intelligence.
615 24$aOperations Research/Decision Theory.
615 24$aOptimization.
676   $a005.1
700   $aBlum$b Christian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0929211
702   $aRaidl$b Günther R$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254993203321
996   $aHybrid Metaheuristics$92088416
997   $aUNINA