000 02542cam a22003134a 4500
008 050318s2005 nyua b 000 0 eng
010 _a 2005043438
020 _a9780387254852 (acid-free paper)
020 _a0387254854 (acid-free paper)
020 _a0387254862 (e-book)
040 _aDLC
_cDLC
_dDLC
042 _apcc
050 0 0 _aTS157.5
_b.C64 2005
082 0 0 _a658.5/3
_222
245 0 0 _aColumn generation /
_cedited by Guy Desaulniers, Jacques Desrosiers, Marius M. Solomon.
260 _aNew York :
_bSpringer,
_c2005.
300 _axv, 358 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references.
650 0 _aProduction scheduling.
700 1 _aDesaulniers, Guy.,
_eEditor.
700 1 _aDesrosiers, Jacques.,
_eEditor.
700 1 _aSolomon, Marius M.,
_eEditor.
035 _a(IMchF)fol09648077
520 _aColumn 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). The book is the first systematic treatment of column generation methodologies. It will provide students, researchers, and experienced column generation users with a much-needed state-of-the-art survey of the field.
005 20170126100405.0
001 56891
003 UOWD
942 _cREGULAR
999 _c23599
_d23599