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9780792395157: Intelligent Scheduling Systems: 3 (Operations Research/Computer Science Interfaces Series)

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Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research.
Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.

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Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research.
Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.

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9781461359548: Intelligent Scheduling Systems: 3 (Operations Research/Computer Science Interfaces Series)

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ISBN 10:  1461359546 ISBN 13:  9781461359548
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Brown, DE (ed)
Publicado por Kluwer Academic, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780792395157. Nº de ref. del artículo: 4321533

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Brown, Donald E. (EDT); Scherer, William T. (EDT); Intelligent Scheduling Systems Symposium (COR); Operations Research Society of America Artificial Intelligence technic (COR)
Publicado por Springer, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Publicado por Springer, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Donald E. Brown
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Hardcover. Condición: new. Hardcover. Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. This text aims to capture the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike.Presented are an array of the latest contemporary tools - math modelling to tabu search to genetic algorithms - that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780792395157

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Publicado por Springer, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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William T. Scherer
Publicado por Springer US Dez 1994, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems. 274 pp. Englisch. Nº de ref. del artículo: 9780792395157

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Brown, Donald E.|Scherer, William T.
Publicado por Springer US, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical . Nº de ref. del artículo: 5971553

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Donald E. Brown, William T. Scherer
Publicado por Springer, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Condición: Neu. Gebundene Ausgabe 260 S. Sehr guter Zustand, ohne Namenseintrag Ansichtsexemplar aus Buchhandlung cop 1995 Zustand: 1, Neu, Gebundene Ausgabe Springer , 1994 260 S. , Intelligent Scheduling Systems (Operations Research/Computer Science Interfaces Series, Band 3), Donald E. Brown, William T. Scherer. Nº de ref. del artículo: BU254126

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William T. Scherer
Publicado por Springer US, Springer US Dez 1994, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Buch. Condición: Neu. Neuware -Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research.Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 274 pp. Englisch. Nº de ref. del artículo: 9780792395157

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William T. Scherer
Publicado por Springer US, Springer US, 1994
ISBN 10: 0792395158 ISBN 13: 9780792395157
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems. Nº de ref. del artículo: 9780792395157

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