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Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).
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Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).
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Column Generation (Gerad 25th Anniversary)
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Column Generation
Verlag:
Springer US, Springer New York Apr 2005, 2005
ISBN 10: 0387254854
ISBN 13: 9780387254852
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Buch. Zustand: Neu. Neuware -Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with 'A Primer in Column Generation' which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on 'Shortest Path Problems with Resource Constraints,' 'Vehicle Routing Problem with Time Window,' 'Branch-and-Price Heuristics,' 'Cutting Stock Problems,' each dealing with methodological aspects of the field. Three chapters deal with transportation applications: 'Large-scale Models in the Airline Industry,' 'Robust Inventory Ship Routing by Column Generation,' and 'Ship Scheduling with Recurring Visits and Visit Separation Requirements.' Production is the focus of another three chapters: 'Combining Column Generation and Lagrangian Relaxation,' 'Dantzig-Wolfe Decomposition for Job Shop Scheduling,' and 'Applying Column Generation to Machine Scheduling.' The final chapter by François Vanderbeck, 'Implementing Mixed Integer Column Generation,' reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. Artikel-Nr. 9780387254852
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Column Generation
Verlag:
Springer US, Springer New York, 2005
ISBN 10: 0387254854
ISBN 13: 9780387254852
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with 'A Primer in Column Generation' which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on 'Shortest Path Problems with Resource Constraints,' 'Vehicle Routing Problem with Time Window,' 'Branch-and-Price Heuristics,' 'Cutting Stock Problems,' each dealing with methodological aspects of the field. Three chapters deal with transportation applications: 'Large-scale Models in the Airline Industry,' 'Robust Inventory Ship Routing by Column Generation,' and 'Ship Scheduling with Recurring Visits and Visit Separation Requirements.' Production is the focus of another three chapters: 'Combining Column Generation and Lagrangian Relaxation,' 'Dantzig-Wolfe Decomposition for Job Shop Scheduling,' and 'Applying Column Generation to Machine Scheduling.' The final chapter by François Vanderbeck, 'Implementing Mixed Integer Column Generation,' reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies). Artikel-Nr. 9780387254852
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