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Titlebook: Column Generation; Guy Desaulniers,Jacques Desrosiers,Marius M. Solom Book 2005 Springer-Verlag US 2005 Prime.Transport.inventory.producti

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书目名称Column Generation
编辑Guy Desaulniers,Jacques Desrosiers,Marius M. Solom
视频video
概述Provides a survey overview of the state-of-the-art in integer programming column generation and its many applications.Chapters are written by leading experts in the various methodological and applicat
图书封面Titlebook: Column Generation;  Guy Desaulniers,Jacques Desrosiers,Marius M. Solom Book 2005 Springer-Verlag US 2005 Prime.Transport.inventory.producti
描述.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
出版日期Book 2005
关键词Prime; Transport; inventory; production; programming; scheduling
版次1
doihttps://doi.org/10.1007/b135457
isbn_softcover978-1-4419-3799-5
isbn_ebook978-0-387-25486-9
copyrightSpringer-Verlag US 2005
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Quantum Dot Single-Photon Sources,ially when the main problem is to divide the jobs over the machines, column generation turns out to be very successful. Next to a number of these ‘partitioning’ problems, we shall discuss a number of other problems that have successfully been tackled by a column generation approach.
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978-1-4419-3799-5Springer-Verlag US 2005
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https://doi.org/10.1007/978-1-4615-8464-3e relevant basic theory and more advanced ideas which help in solving large scale practical problems. Our discussion includes embedding Dantzig-Wolfe decomposition and Lagrangian relaxation within a branch-and-bound framework, deriving natural branching and cutting rules by means of a so-called comp
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