@article{discovery1452709,
           month = {January},
          volume = {72},
         journal = {COMPUTERS \& CHEMICAL ENGINEERING},
           pages = {387 -- 394},
            note = {{\copyright} 2014 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).},
            year = {2015},
           title = {Mixed integer polynomial programming},
            issn = {0098-1354},
             url = {http://dx.doi.org/10.1016/j.compchemeng.2014.07.020},
        abstract = {The mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which are solved analytically to give the parametric optimal solution as a function of the relaxed integer variables. Evaluation of the parametric optimal solution for integer variables fixed at their integer values followed by screening of the evaluated solutions gives the optimal solutions.},
        keywords = {Mixed integer programming, Polynomial programming, Nonlinear inversion, Multi parametric programming},
          author = {Dua, V}
}