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001 978-1-4614-6940-7
003 DE-He213
005 20200420211740.0
007 cr nn 008mamaa
008 131018s2014 xxu| s |||| 0|eng d
020 _a9781461469407
_9978-1-4614-6940-7
024 7 _a10.1007/978-1-4614-6940-7
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
245 1 0 _aSearch Methodologies
_h[electronic resource] :
_bIntroductory Tutorials in Optimization and Decision Support Techniques /
_cedited by Edmund K. Burke, Graham Kendall.
250 _a2nd ed. 2014.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2014.
300 _aXIV, 716 p. 135 illus., 15 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aBusiness.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aComputers.
650 0 _aManagement science.
650 1 4 _aBusiness and Management.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aComputing Methodologies.
700 1 _aBurke, Edmund K.
_eeditor.
700 1 _aKendall, Graham.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461469391
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6940-7
912 _aZDB-2-SBE
942 _cEBK
999 _c50622
_d50622