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A mixed integer programing (MIP) algorithm was used and a minor cost reduction was obtained.
In the present study, a multi-objective mixed integer programing model and its robust counterpart was developed.
For solving the proposed mixed integer programing models, we suggest a two-stage branch&cut algorithm based on a decomposed model.
A multistage, mixed integer programing model was developed that fully integrates multimodal transport into the cellulosic biofuel supply chain design under feedstock seasonality.
This paper proposes a new integrated mixed integer programing – data envelopment analysis (MIP DEA) model to improve the integrated DEA model which was introduced by Toloo & Nalchigar [M. Toloo, S. Nalchigar. A new integrated DEA model for finding most BCC efficient DMU. Appl. Math. Model. 33 (2009) 597–60].
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Mixed integer program.
A mixed integer programming model is established.
Two mixed integer programming formulations are presented and compared.
The problem is formulated as a mixed integer program.
Several mixed integer programming models and valid inequalities are presented.
We formulate this problem as a mixed integer programming model.
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