This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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 Francois 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).
