TY  - JOUR
KW  - Mixed integer programming
KW  -  Polynomial programming
KW  -  Nonlinear inversion
KW  -  Multi parametric programming
A1  - Dua, V
JF  - COMPUTERS & CHEMICAL ENGINEERING
SN  - 0098-1354
UR  - http://dx.doi.org/10.1016/j.compchemeng.2014.07.020
ID  - discovery1452709
N2  - 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.
N1  - © 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/).
EP  -  394
AV  - public
VL  - 72
Y1  - 2015/01/02/
SP  - 387 
TI  - Mixed integer polynomial programming
ER  -