Sinossi
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).
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Foreword.- Contributing Authors.- Preface.- A Primer in Column Generation.- Shortest Path Problems with Resource Constraints.- Vehicle Routing Problem with Time Windows.- Branch-and-Price Heuristics: A Case Study on the Vehicle Routing Problem with Time Windows.- Cutting Stock Problems.- Large-scale Models in the Airline Industry.- Robust Inventory Ship Routing by Column Generation.- Ship Scheduling with Recurring Visits and Visit Separation Requirements.- Combining Column Generation and Lagrangian Relaxation.- Dantzig-Wolfe Decomposition for Job Shop Scheduling.- Applying Column Generation to Machine Scheduling.- Implementing Mixed Integer Column Generation.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a survey overview of the state-of-the-art in integer programming column generation and its many applicationsChapters are written by leading experts in the various methodological and application areas of Column GenerationProvide. Codice articolo 5909486
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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). 376 pp. Englisch. Codice articolo 9780387254852
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a survey overview of the state-of-the-art in integer programming column generation and its many applications, featuring chapters written by leading experts in the various methodological and application areas of Column Generation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 376 pp. Englisch. Codice articolo 9780387254852
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Buch. Condizione: 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). Codice articolo 9780387254852
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