LEADER 01147nam--2200349---450- 001 990006172510203316 005 20161010120253.0 035 $a000617251 035 $aUSA01000617251 035 $a(ALEPH)000617251USA01 035 $a000617251 100 $a20161010d2000----km-y0itay50------ba 101 $aita 102 $aIT 105 $aa---||||001yy 200 1 $aProgettazione urbana$ebollettino del Dipartimento di progettazione urbana, Universitą degli Studi di Napoli Federico 2.$ele aree di margine della cittą consolidata 210 $aNapoli$cUniversitą degli Studi di Napoli$d2000 215 $a160 p.$cill.$d30 cm 300 $aTit. della cop. 300 $aN. 6/nov. 2000 della rivista: Progettazione urbana 606 0 $aArchitettura$xPeriodici$2BNCF 606 0 $aUrbanistica$xPeriodici$2BNCF 676 $a711.05 801 0$aIT$bsalbc$gISBD 912 $a990006172510203316 951 $a711.05 PRO$b720 Crd.$c711$d00331542 959 $aBK 969 $aCRD 979 $aPAOLA$b90$c20161010$lUSA01$h1159 979 $aPAOLA$b90$c20161010$lUSA01$h1202 996 $aProgettazione urbana$9790916 997 $aUNISA LEADER 05302nam 22006975 450 001 9910298547303321 005 20201230191859.0 010 $a1-4614-6940-6 024 7 $a10.1007/978-1-4614-6940-7 035 $a(CKB)3710000000078537 035 $a(DE-He213)978-1-4614-6940-7 035 $a(SSID)ssj0001049111 035 $a(PQKBManifestationID)11550596 035 $a(PQKBTitleCode)TC0001049111 035 $a(PQKBWorkID)11017597 035 $a(PQKB)10134004 035 $a(MiAaPQ)EBC6312125 035 $a(MiAaPQ)EBC1538457 035 $a(Au-PeEL)EBL1538457 035 $a(CaPaEBR)ebr10969164 035 $a(OCoLC)871283227 035 $a(PPN)176097880 035 $a(EXLCZ)993710000000078537 100 $a20131018d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSearch Methodologies$b[electronic resource] $eIntroductory Tutorials in Optimization and Decision Support Techniques /$fedited by Edmund K. Burke, Graham Kendall 205 $a2nd ed. 2014. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2014. 215 $a1 online resource (XIV, 716 p. 135 illus., 15 illus. in color.) 300 $aIncludes index. 311 $a1-4614-6939-2 327 $aIntroduction -- Classical Techniques -- Integer Programming -- Genetic Algorithms -- Scatter Search -- Genetic Programming -- Artificial Immune Systems -- Swarm Intelligence -- Tabu Search -- Simulated Annealing -- GRASP: Greedy Randomized Adaptive Search Procedures -- Variable Neighborhood Search -- Very Large-Scale Neighborhood Search -- Constraint Programming -- Multi-objective Optimization -- Sharpened and Focused No Free Lunch and Complexity Theory -- Machine Learning -- Fuzzy Reasoning -- Rough-Set-Based Decision Support -- Hyper-heuristics -- Approximations and Randomization -- Fitness Landscapes. 330 $aThe first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world?s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. ?As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book?s subtitle, ?Introductory Tutorials in Optimization and Decision Support Techniques?, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.? Fred Glover, Leeds School of Business, University of Colorado Boulder, USA ?[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.? Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences. 606 $aOperations research 606 $aDecision making 606 $aManagement science 606 $aArtificial intelligence 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aOperations research. 615 0$aDecision making. 615 0$aManagement science. 615 0$aArtificial intelligence. 615 14$aOperations Research/Decision Theory. 615 24$aOperations Research, Management Science. 615 24$aArtificial Intelligence. 676 $a658.403 702 $aBurke$b Edmund K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKendall$b Graham$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298547303321 996 $aSearch methodologies$91416578 997 $aUNINA