Interfaces in Computer Science and Operations Research: Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies
The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de plo...
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| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
1997
|
| Ausgabe: | 1st ed. 1997 |
| Schriftenreihe: | Operations Research/Computer Science Interfaces Series
7 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de ployment, and how OR has contributed to the design and development of ad vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al gorithms, and Tabu Search), optimization and mathematical programming, stochastic methods, constraint programming, and logical analysis. These ad vanced methodologies are applied to new applications in such areas as: telecom munications network design, financial engineering, manufacturing, project man agement, and forecasting, airline and machine scheduling, vehicle routing, mod eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research |
| Beschreibung: | 1 Online-Ressource (XII, 442 p) |
| ISBN: | 9781461541028 |
| DOI: | 10.1007/978-1-4615-4102-8 |
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Datensatz im Suchindex
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| adam_txt | |
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| author2 | Barr, R. S. Helgason, R.V Kennington, Jeffrey L. |
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| dewey-full | 658.40301 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
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| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-4615-4102-8 |
| edition | 1st ed. 1997 |
| format | Electronic eBook |
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| spelling | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies edited by R. S. Barr, R.V. Helgason, Jeffrey L. Kennington 1st ed. 1997 New York, NY Springer US 1997 1 Online-Ressource (XII, 442 p) txt rdacontent c rdamedia cr rdacarrier Operations Research/Computer Science Interfaces Series 7 The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de ployment, and how OR has contributed to the design and development of ad vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al gorithms, and Tabu Search), optimization and mathematical programming, stochastic methods, constraint programming, and logical analysis. These ad vanced methodologies are applied to new applications in such areas as: telecom munications network design, financial engineering, manufacturing, project man agement, and forecasting, airline and machine scheduling, vehicle routing, mod eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research Operations Research/Decision Theory Systems Theory, Control Artificial Intelligence Operations research Decision making System theory Artificial intelligence Optimierung (DE-588)4043664-0 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Neuronales Netz (DE-588)4226127-2 s DE-604 Optimierung (DE-588)4043664-0 s Stochastische Optimierung (DE-588)4057625-5 s Barr, R. S. edt Helgason, R.V. edt Kennington, Jeffrey L. edt Erscheint auch als Druck-Ausgabe 9781461368373 Erscheint auch als Druck-Ausgabe 9780792398448 Erscheint auch als Druck-Ausgabe 9781461541035 https://doi.org/10.1007/978-1-4615-4102-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies Operations Research/Decision Theory Systems Theory, Control Artificial Intelligence Operations research Decision making System theory Artificial intelligence Optimierung (DE-588)4043664-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd |
| subject_GND | (DE-588)4043664-0 (DE-588)4226127-2 (DE-588)4057625-5 (DE-588)4143413-4 |
| title | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies |
| title_auth | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies |
| title_exact_search | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies |
| title_exact_search_txtP | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies |
| title_full | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies edited by R. S. Barr, R.V. Helgason, Jeffrey L. Kennington |
| title_fullStr | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies edited by R. S. Barr, R.V. Helgason, Jeffrey L. Kennington |
| title_full_unstemmed | Interfaces in Computer Science and Operations Research Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies edited by R. S. Barr, R.V. Helgason, Jeffrey L. Kennington |
| title_short | Interfaces in Computer Science and Operations Research |
| title_sort | interfaces in computer science and operations research advances in metaheuristics optimization and stochastic modeling technologies |
| title_sub | Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies |
| topic | Operations Research/Decision Theory Systems Theory, Control Artificial Intelligence Operations research Decision making System theory Artificial intelligence Optimierung (DE-588)4043664-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd |
| topic_facet | Operations Research/Decision Theory Systems Theory, Control Artificial Intelligence Operations research Decision making System theory Artificial intelligence Optimierung Neuronales Netz Stochastische Optimierung Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4615-4102-8 |
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