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001 978-1-4419-1665-5
003 DE-He213
005 20180115171458.0
007 cr nn 008mamaa
008 100917s2010 xxu| s |||| 0|eng d
020 _a9781441916655
_9978-1-4419-1665-5
024 7 _a10.1007/978-1-4419-1665-5
_2doi
050 4 _aQA402-402.37
050 4 _aT57.6-57.97
072 7 _aKJT
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aBUS042000
_2bisacsh
082 0 4 _a519.6
_223
245 1 0 _aHandbook of Metaheuristics
_h[electronic resource] /
_cedited by Michel Gendreau, Jean-Yves Potvin.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _aXX, 648 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v146
505 0 _aSimulated Annealing -- Tabu Search -- Variable Neighborhood Search -- Scatter Search and Path-Relinking: Fundamentals, Advances, and Applications -- Genetic Algorithms -- A Modern Introduction to Memetic Algorithms -- Genetic Programming -- Ant Colony Optimization: Overview and Recent Advances -- Advanced Multi-start Methods -- Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications -- Guided Local Search -- Iterated Local Search: Framework and Applications -- Large Neighborhood Search -- Artificial Immune Systems -- A Classification of Hyper-heuristic Approaches -- Metaheuristic Hybrids -- Parallel Meta-heuristics -- Reactive Search Optimization: Learning While Optimizing -- Stochastic Search in Metaheuristics -- An Introduction to Fitness Landscape Analysis and Cost Models for Local Search -- Comparison of Metaheuristics.
520 _a“… an excellent book if you want to learn about a number of individual metaheuristics." (U. Aickelin, Journal of the Operational Research Society, Issue 56, 2005, on the First Edition) The first edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous developments observed in the field of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. When Glover and Kochenberger were unable to prepare this second edition, they suggested that Michel Gendreau and Jean-Yves Potvin should take over the editorship, and so this important new edition is now available. Through its 21 chapters, this second edition is designed to provide a broad coverage of the concepts, implementations and applications in this important field of optimization. Original contributors either revised or updated their work, or provided entirely new chapters. The Handbook now includes updated chapters on the best known metaheuristics, including simulated annealing, tabu search, variable neighborhood search, scatter search and path relinking, genetic algorithms, memetic algorithms, genetic programming, ant colony optimization, multi-start methods, greedy randomized adaptive search procedure, guided local search, hyper-heuristics and parallel metaheuristics. It also contains three new chapters on large neighborhood search, artificial immune systems and hybrid metaheuristics. The last four chapters are devoted to more general issues related to the field of metaheuristics, namely reactive search, stochastic search, fitness landscape analysis and performance comparison.
650 0 _aMathematics.
650 0 _aBusiness.
650 0 _aManagement science.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aComputer science
_xMathematics.
650 0 _aArtificial intelligence.
650 0 _aComputer mathematics.
650 1 4 _aMathematics.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aMath Applications in Computer Science.
650 2 4 _aBusiness and Management, general.
650 2 4 _aComputational Science and Engineering.
700 1 _aGendreau, Michel.
_eeditor.
700 1 _aPotvin, Jean-Yves.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441916631
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v146
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1665-5
912 _aZDB-2-SMA
999 _c370275
_d370275