Intelligent Scheduling Systems:
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...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
1995
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Ausgabe: | 1st ed. 1995 |
Schriftenreihe: | Operations Research/Computer Science Interfaces Series
3 |
Schlagworte: | |
Online-Zugang: | BTU01 URL des Erstveröffentlichers |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (X, 260 p) |
ISBN: | 9781461522638 |
DOI: | 10.1007/978-1-4615-2263-8 |
Internformat
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520 | |a 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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Datensatz im Suchindex
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author2 | Brown, Donald E. Scherer, William T. |
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author_facet | Brown, Donald E. Scherer, William T. |
building | Verbundindex |
bvnumber | BV046874198 |
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ctrlnum | (ZDB-2-SBE)978-1-4615-2263-8 (OCoLC)903189974 (DE-599)BVBBV046874198 |
dewey-full | 658.40301 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.40301 |
dewey-search | 658.40301 |
dewey-sort | 3658.40301 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-1-4615-2263-8 |
edition | 1st ed. 1995 |
format | Electronic eBook |
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isbn | 9781461522638 |
language | English |
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publishDate | 1995 |
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publisher | Springer US |
record_format | marc |
series2 | Operations Research/Computer Science Interfaces Series |
spelling | Intelligent Scheduling Systems edited by Donald E. Brown, William T. Scherer 1st ed. 1995 New York, NY Springer US 1995 1 Online-Ressource (X, 260 p) txt rdacontent c rdamedia cr rdacarrier Operations Research/Computer Science Interfaces Series 3 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 Operations Research/Decision Theory Operations Management Mechanical Engineering Data Structures and Information Theory IT in Business Operations research Decision making Production management Mechanical engineering Data structures (Computer science) Information technology Business—Data processing Scheduling (DE-588)4179449-7 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Scheduling (DE-588)4179449-7 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Brown, Donald E. edt Scherer, William T. edt Erscheint auch als Druck-Ausgabe 9781461359548 Erscheint auch als Druck-Ausgabe 9780792395157 Erscheint auch als Druck-Ausgabe 9781461522645 https://doi.org/10.1007/978-1-4615-2263-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Intelligent Scheduling Systems Operations Research/Decision Theory Operations Management Mechanical Engineering Data Structures and Information Theory IT in Business Operations research Decision making Production management Mechanical engineering Data structures (Computer science) Information technology Business—Data processing Scheduling (DE-588)4179449-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
subject_GND | (DE-588)4179449-7 (DE-588)4033447-8 (DE-588)1071861417 |
title | Intelligent Scheduling Systems |
title_auth | Intelligent Scheduling Systems |
title_exact_search | Intelligent Scheduling Systems |
title_exact_search_txtP | Intelligent Scheduling Systems |
title_full | Intelligent Scheduling Systems edited by Donald E. Brown, William T. Scherer |
title_fullStr | Intelligent Scheduling Systems edited by Donald E. Brown, William T. Scherer |
title_full_unstemmed | Intelligent Scheduling Systems edited by Donald E. Brown, William T. Scherer |
title_short | Intelligent Scheduling Systems |
title_sort | intelligent scheduling systems |
topic | Operations Research/Decision Theory Operations Management Mechanical Engineering Data Structures and Information Theory IT in Business Operations research Decision making Production management Mechanical engineering Data structures (Computer science) Information technology Business—Data processing Scheduling (DE-588)4179449-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
topic_facet | Operations Research/Decision Theory Operations Management Mechanical Engineering Data Structures and Information Theory IT in Business Operations research Decision making Production management Mechanical engineering Data structures (Computer science) Information technology Business—Data processing Scheduling Künstliche Intelligenz Konferenzschrift |
url | https://doi.org/10.1007/978-1-4615-2263-8 |
work_keys_str_mv | AT browndonalde intelligentschedulingsystems AT schererwilliamt intelligentschedulingsystems |