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An algorithm for mixed integer optimization
Authors:Matthias Köppe  Robert Weismantel
Affiliation:(1) Department of Mathematics/IMO, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany
Abstract:This paper introduces a new algorithm for solving mixed integer programs. The core of the method is an iterative technique for changing the representation of the original mixed integer optimization problem.Supported by grants FKZ 0037KD0099 and FKZ 2495A/0028G of the Kultusministerium of Sachsen-Anhalt.Supported by a Gerhard-Hess-Preis and grant WE 1462 of the Deutsche Forschungsgemeinschaft, and by the European DONET program TMR ERB FMRX-CT98-0202.Mathematics Subject Classification (1991):ensp90C11
Keywords:Mixed integer programming  primal methods  integral basis method
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