Complete Solutions to Mixed Integer Programming


This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave maximization dual problems without duality gap. And the dual problems can be solved, under certain conditions, by polynomial algorithms.

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N. Ruan, "Complete Solutions to Mixed Integer Programming," American Journal of Computational Mathematics, Vol. 3 No. 3B, 2013, pp. 27-30. doi: 10.4236/ajcm.2013.33B005.

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The authors declare no conflicts of interest.


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