Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/517
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dc.contributor.authorPillay, Nelishia. ;en_US
dc.contributor.authorQu, Rong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:18:00Z-
dc.date.available2020-05-17T08:18:00Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965147 ;en_US
dc.identifier.isbn9783319965130 (print) ;en_US
dc.identifier.isbn9783319965154 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/517-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965130. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965154. ;en_US
dc.description.abstractThis introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners. ;en_US
dc.description.statementofresponsibilityby Nelishia Pillay, Rong Qu.en_US
dc.description.tableofcontentsIntroduction to Hyper-Heuristics -- Selection Constructive Hyper-Heuristics -- Selection Pertubative Hyper-Heuristics -- Generation Constructive Hyper-Heuristics -- Generation Perturbative Hyper-Heuristics -- Theoretical Aspect: A Formal Definition -- Vehicle Routing Problems -- Nurse Rostering Problems -- Packing Problems -- Examination Timetabling Problems -- Cross-Domain Hyper-Heuristics -- Advances in Hyper-Heuristics -- Conclusions and Future Research Directions. ;en_US
dc.format.extentXVII, 130 p. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.haspart9783319965130.pdfen_US
dc.subjectInformation theory. ;en_US
dc.subjectEngineeringen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMathematical optimization. ;en_US
dc.subjectOperations research. ;en_US
dc.subjectTheory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;en_US
dc.subjectComputational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectOptimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;en_US
dc.subjectOperations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;en_US
dc.subject.ddc004.0151 ; 23 ;en_US
dc.titleHyper-Heuristics: Theory and Applicationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
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9783319965130.pdf2.21 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorPillay, Nelishia. ;en_US
dc.contributor.authorQu, Rong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:18:00Z-
dc.date.available2020-05-17T08:18:00Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965147 ;en_US
dc.identifier.isbn9783319965130 (print) ;en_US
dc.identifier.isbn9783319965154 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/517-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965130. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965154. ;en_US
dc.description.abstractThis introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners. ;en_US
dc.description.statementofresponsibilityby Nelishia Pillay, Rong Qu.en_US
dc.description.tableofcontentsIntroduction to Hyper-Heuristics -- Selection Constructive Hyper-Heuristics -- Selection Pertubative Hyper-Heuristics -- Generation Constructive Hyper-Heuristics -- Generation Perturbative Hyper-Heuristics -- Theoretical Aspect: A Formal Definition -- Vehicle Routing Problems -- Nurse Rostering Problems -- Packing Problems -- Examination Timetabling Problems -- Cross-Domain Hyper-Heuristics -- Advances in Hyper-Heuristics -- Conclusions and Future Research Directions. ;en_US
dc.format.extentXVII, 130 p. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.haspart9783319965130.pdfen_US
dc.subjectInformation theory. ;en_US
dc.subjectEngineeringen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMathematical optimization. ;en_US
dc.subjectOperations research. ;en_US
dc.subjectTheory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;en_US
dc.subjectComputational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectOptimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;en_US
dc.subjectOperations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;en_US
dc.subject.ddc004.0151 ; 23 ;en_US
dc.titleHyper-Heuristics: Theory and Applicationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319965130.pdf2.21 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPillay, Nelishia. ;en_US
dc.contributor.authorQu, Rong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:18:00Z-
dc.date.available2020-05-17T08:18:00Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965147 ;en_US
dc.identifier.isbn9783319965130 (print) ;en_US
dc.identifier.isbn9783319965154 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/517-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965130. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965154. ;en_US
dc.description.abstractThis introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners. ;en_US
dc.description.statementofresponsibilityby Nelishia Pillay, Rong Qu.en_US
dc.description.tableofcontentsIntroduction to Hyper-Heuristics -- Selection Constructive Hyper-Heuristics -- Selection Pertubative Hyper-Heuristics -- Generation Constructive Hyper-Heuristics -- Generation Perturbative Hyper-Heuristics -- Theoretical Aspect: A Formal Definition -- Vehicle Routing Problems -- Nurse Rostering Problems -- Packing Problems -- Examination Timetabling Problems -- Cross-Domain Hyper-Heuristics -- Advances in Hyper-Heuristics -- Conclusions and Future Research Directions. ;en_US
dc.format.extentXVII, 130 p. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.ispartofseriesNatural Computing Series, ; 1619-7127. ;en_US
dc.relation.haspart9783319965130.pdfen_US
dc.subjectInformation theory. ;en_US
dc.subjectEngineeringen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMathematical optimization. ;en_US
dc.subjectOperations research. ;en_US
dc.subjectTheory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;en_US
dc.subjectComputational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectOptimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;en_US
dc.subjectOperations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;en_US
dc.subject.ddc004.0151 ; 23 ;en_US
dc.titleHyper-Heuristics: Theory and Applicationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319965130.pdf2.21 MBAdobe PDFThumbnail
Preview File