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010   $a9783642306716
010   $a3642306713
024 7 $a10.1007/978-3-642-30671-6
035   $a(CKB)3390000000030193
035   $a(SSID)ssj0000745988
035   $a(PQKBManifestationID)11418211
035   $a(PQKBTitleCode)TC0000745988
035   $a(PQKBWorkID)10859902
035   $a(PQKB)11154144
035   $a(DE-He213)978-3-642-30671-6
035   $a(MiAaPQ)EBC3070905
035   $a(PPN)168317389
035   $a(EXLCZ)993390000000030193
100   $a20120509d2013      uy         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 00$aHybrid metaheuristics /$fEl-Ghazali Talbi (ed.)
205   $a1st ed. 2013.
210   $aHeidelberg ;$aNew York $cSpringer$dc2013
215   $a1 online resource (XXVI, 458 p.) 
225 1 $aStudies in computational intelligence,$x1860-949X ;$v434
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a9783642429057 
311 08$a364242905X 
311 08$a9783642306709 
311 08$a3642306705 
320   $aIncludes bibliographical references and indexes.
327   $aPart I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty -- Part II Combining metaheuristics with (complementary) metaheuristics -- Part III Combining metaheuristics with exact methods from mathematical programming approaches -- Part IV Combining metaheuristics with constraint programming approaches -- Part V Combining metaheuristics with machine learning and data mining techniques.
330   $aThe main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
410  0$aStudies in computational intelligence ;$vv. 434.
606   $aMathematical optimization$xData processing
606   $aComputer algorithms
615  0$aMathematical optimization$xData processing.
615  0$aComputer algorithms.
676   $a006.3
701   $aTalbi$b El-Ghazali$f1965-$0786036
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437901003321
996   $aHybrid metaheuristics$94187683
997   $aUNINA