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

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Branch-and-Price Heuristics: A Case Study on the Vehicle Routing Problem with Time Windows,s (Solomon benchmark) that it consistently improves the ability of branch-and-price to generate good integer solutions ea rly while retaining the ability of branch-and-price to produce good lower bounds.

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Book 2005elaxation," "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

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Shortest Path Problems with Resource Constraints,rce constraints (SPPRC) or one of its variants..This chapter proposes a classification and a generic formulation for the SPPRCs, briefly discusses complex modeling issues involving resources, and presents the most commonly used SPPRC solution methods. First and foremost, it provides a comprehensive

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Branch-and-Price Heuristics: A Case Study on the Vehicle Routing Problem with Time Windows,amming as column generation usually produces at the root node tight lower bounds (when minimizing) that are further improved when branching. Branching also helps to generate integer solutions, however branch-and-price can be quite weak at producing good integer solutions rapidly because the solution

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Cutting Stock Problems,basic models proposed for cutting stock and the corresponding solution approaches. Extended Dantzig-Wolfe decomposition is surveyed and applied to these models in order to show the links to Gilmore-Gomory model. Branching schemes discussion is based on the subproblem formulation corresponding to eac

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