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Abstract

Creating good integer programming formulations had, as a basic axiom, the rule “Find formulations with tighter linear relaxations”. This rule, while useful when using unsophisticated branch-and-bound codes,is insufficient when using state-of-the-art codes that understand and embed many of the obvious formulation improvements. As these optimization codes become more sophisticated it is important to have finer control over their operation. Modelers need to be even more creative in reformulating their integer programs in order to improve on the automatic reformulations of the optimization codes.

Keywords

Integer Programming Linear Relaxation Integer Programming Formulation Major League Baseball Cover Inequality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Michael Trick
    • 1
  1. 1.Tepper School of Business, Carnegie MellonPittsburghUSA

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