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dc.contributor.authorMarte, Rafael ; (Rafael Cunquero), ; n2002154370 ; editor ;en_US
dc.contributor.authorPardalos, P. M. ; (Panos M.), ; 1954- ; n87923409 ; editor ;en_US
dc.contributor.authorResende, Mauricio G. C., ; 1955- ; n95036197 ; editor ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:41Z-
dc.date.available2020-05-17T08:22:41Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319071244 ; (electronic bk.) ;en_US
dc.identifier.isbn3319071246 ; (electronic bk.) ;en_US
dc.identifier.isbn9783319071237 ; (print) ;en_US
dc.identifier.isbn9783319071251 ; (print and electronic bundle) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/850-
dc.descriptionen_US
dc.descriptionAvailable to OhioLINK libraries ;en_US
dc.descriptionen_US
dc.descriptionOhio Library and Information Network. ; no95058981 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractHeuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as 'rules of thumb' but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.-- ; Provided by publisher ;en_US
dc.description.statementofresponsibilityRafael Marte, Panos M. Pardalos, Mauricio G. C. Resende, editorsen_US
dc.format.extent1 online resource : ; illustrations (some color) ;en_US
dc.format.extentIncludes index ;en_US
dc.publisherSpringer,en_US
dc.relation.haspart9783319071237.pdfen_US
dc.subjectHeuristic algorithms ;sh2009010989 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subjectAlgorithms ;sh85003487 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subject.ddc518/.1 ; 23 ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleHandbook of heuristics /en_US
dc.typeBooken_US
dc.publisher.placeCham, Switzerland :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorMarte, Rafael ; (Rafael Cunquero), ; n2002154370 ; editor ;en_US
dc.contributor.authorPardalos, P. M. ; (Panos M.), ; 1954- ; n87923409 ; editor ;en_US
dc.contributor.authorResende, Mauricio G. C., ; 1955- ; n95036197 ; editor ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:41Z-
dc.date.available2020-05-17T08:22:41Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319071244 ; (electronic bk.) ;en_US
dc.identifier.isbn3319071246 ; (electronic bk.) ;en_US
dc.identifier.isbn9783319071237 ; (print) ;en_US
dc.identifier.isbn9783319071251 ; (print and electronic bundle) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/850-
dc.descriptionen_US
dc.descriptionAvailable to OhioLINK libraries ;en_US
dc.descriptionen_US
dc.descriptionOhio Library and Information Network. ; no95058981 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractHeuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as 'rules of thumb' but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.-- ; Provided by publisher ;en_US
dc.description.statementofresponsibilityRafael Marte, Panos M. Pardalos, Mauricio G. C. Resende, editorsen_US
dc.format.extent1 online resource : ; illustrations (some color) ;en_US
dc.format.extentIncludes index ;en_US
dc.publisherSpringer,en_US
dc.relation.haspart9783319071237.pdfen_US
dc.subjectHeuristic algorithms ;sh2009010989 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subjectAlgorithms ;sh85003487 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subject.ddc518/.1 ; 23 ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleHandbook of heuristics /en_US
dc.typeBooken_US
dc.publisher.placeCham, Switzerland :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319071237.pdf30.25 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMarte, Rafael ; (Rafael Cunquero), ; n2002154370 ; editor ;en_US
dc.contributor.authorPardalos, P. M. ; (Panos M.), ; 1954- ; n87923409 ; editor ;en_US
dc.contributor.authorResende, Mauricio G. C., ; 1955- ; n95036197 ; editor ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:41Z-
dc.date.available2020-05-17T08:22:41Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319071244 ; (electronic bk.) ;en_US
dc.identifier.isbn3319071246 ; (electronic bk.) ;en_US
dc.identifier.isbn9783319071237 ; (print) ;en_US
dc.identifier.isbn9783319071251 ; (print and electronic bundle) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/850-
dc.descriptionen_US
dc.descriptionAvailable to OhioLINK libraries ;en_US
dc.descriptionen_US
dc.descriptionOhio Library and Information Network. ; no95058981 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractHeuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as 'rules of thumb' but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.-- ; Provided by publisher ;en_US
dc.description.statementofresponsibilityRafael Marte, Panos M. Pardalos, Mauricio G. C. Resende, editorsen_US
dc.format.extent1 online resource : ; illustrations (some color) ;en_US
dc.format.extentIncludes index ;en_US
dc.publisherSpringer,en_US
dc.relation.haspart9783319071237.pdfen_US
dc.subjectHeuristic algorithms ;sh2009010989 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subjectAlgorithms ;sh85003487 ; Handbooks, manuals, etc. ;sh99001300 ;en_US
dc.subject.ddc518/.1 ; 23 ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleHandbook of heuristics /en_US
dc.typeBooken_US
dc.publisher.placeCham, Switzerland :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319071237.pdf30.25 MBAdobe PDFThumbnail
Preview File