R. Fletcher and S. Leyffer, “Solving Mixed Integer Nonlinear Programs by Outer Approximation,” Mathematical Programming, Vol. 66, No. 1, 1994, pp. 327-349. doi:10.1007/BF01581153
has been cited by the following article:
TITLE: Complete Solutions to Mixed Integer Programming
AUTHORS: Ning Ruan
KEYWORDS: Duality Theory; Double Well; Global Optimization; Canonical Dual Transformation; Combinatorial Optimization; NP-hard Problems
JOURNAL NAME: American Journal of Computational Mathematics, Vol.3 No.3B, October 25, 2013
ABSTRACT: 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.