# FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs

@article{Abhishek2010FilMINTAO, title={FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs}, author={Kumar Abhishek and Sven Leyffer and Jeff T. Linderoth}, journal={INFORMS Journal on Computing}, year={2010}, volume={22}, pages={555-567} }

We describe a new solver for convex mixed-integer nonlinear programs (MINLPs) that implements a linearization-based algorithm. The solver is based on an algorithm of Quesada and Grossmann [Quesada, I., I. E. Grossmann. 1992. An LP/NLP based branch-and-bound algorithm for convex MINLP optimization problems. Comput. Chemical Engrg.16(10--11) 937--947] that avoids the complete re-solution of a master mixed-integer linear program (MILP) by adding new linearizations at open nodes of the branch-and… CONTINUE READING

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