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Integer Programming: Methods, Uses, Computations

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  • M. L. Balinski

    (University of Pennsylvania and MATHEMATICA)

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    Abstract

    This paper attempts to present the major methods, successful or interesting uses, and computational experience relating to integer or discrete programming problems. Included are descriptions of general algorithms for solving linear programs in integers, as well as some special purpose algorithms for use on highly structured problems. This reflects a belief, on the author's part, that various clever methods of enumeration and other specialized approaches are the most efficacious means existent by which to obtain solutions to practical problems. A serious try at gathering computational experience has been made--but facts are difficult to uncover. The paper is written with intent to enable readers to read selected sections without having to read the whole.

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    File URL: http://dx.doi.org/10.1287/mnsc.12.3.253
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 12 (1965)
    Issue (Month): 3 (November)
    Pages: 253-313

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    Handle: RePEc:inm:ormnsc:v:12:y:1965:i:3:p:253-313

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    Cited by:
    1. ReVelle, C. S. & Eiselt, H. A., 2005. "Location analysis: A synthesis and survey," European Journal of Operational Research, Elsevier, vol. 165(1), pages 1-19, August.
    2. Letchford, Adam N. & Miller, Sebastian J., 2014. "An aggressive reduction scheme for the simple plant location problem," European Journal of Operational Research, Elsevier, vol. 234(3), pages 674-682.
    3. Sarin, Subhash C. & Aggarwal, Sanjay, 2001. "Modeling and algorithmic development of a staff scheduling problem," European Journal of Operational Research, Elsevier, vol. 128(3), pages 558-569, February.
    4. Peter Biro & Walter Kern & Daniel Paulusma, 2011. "Computing Solutions for Matching Games," IEHAS Discussion Papers 1142, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
    5. Snyder, Lawrence V. & Daskin, Mark S. & Teo, Chung-Piaw, 2007. "The stochastic location model with risk pooling," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1221-1238, June.
    6. Heinrich H. Nax & Bary S. R. Pradelski & H. Peyton Young, 2013. "The Evolution of Core Stability in Decentralized Matching Markets," Working Papers 2013.50, Fondazione Eni Enrico Mattei.
    7. Harkness, Joseph & ReVelle, Charles, 2003. "Facility location with increasing production costs," European Journal of Operational Research, Elsevier, vol. 145(1), pages 1-13, February.
    8. Peter Biro & Tamas Fleiner, 2012. "Fractional solutions for capacitated NTU-games, with applications to stable matchings," IEHAS Discussion Papers 1234, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
    9. Current, John & Ratick, Samuel & ReVelle, Charles, 1998. "Dynamic facility location when the total number of facilities is uncertain: A decision analysis approach," European Journal of Operational Research, Elsevier, vol. 110(3), pages 597-609, November.

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