An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems
Roohollah Aliakbari Shandiz, Nezam Mahdavi-Amiri
DOI: 10.4236/ajor.2011.13021   PDF    HTML     5,027 Downloads   10,011 Views   Citations


We propose an exact penalty approach for solving mixed integer nonlinear programming (MINLP) problems by converting a general MINLP problem to a finite sequence of nonlinear programming (NLP) problems with only continuous variables. We express conditions of exactness for MINLP problems and show how the exact penalty approach can be extended to constrained problems.

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R. Shandiz and N. Mahdavi-Amiri, "An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems," American Journal of Operations Research, Vol. 1 No. 3, 2011, pp. 185-189. doi: 10.4236/ajor.2011.13021.

Conflicts of Interest

The authors declare no conflicts of interest.


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