Branching and bounds tighteningtechniques for non-convex MINLP
Optimization Methods & Software - GLOBAL OPTIMIZATION
Static Analysis by Abstract Interpretation: A Mathematical Programming Approach
Electronic Notes in Theoretical Computer Science (ENTCS)
FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs
INFORMS Journal on Computing
Experiments with a feasibility pump approach for nonconvex MINLPs
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
Heuristics for convex mixed integer nonlinear programs
Computational Optimization and Applications
Inexact solution of NLP subproblems in MINLP
Journal of Global Optimization
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We present an algorithm for finding a feasible solution to a convex mixed integer nonlinear program. This algorithm, called Feasibility Pump, alternates between solving nonlinear programs and mixed integer linear programs. We also discuss how the algorithm can be iterated so as to improve the first solution it finds, as well as its integration within an outer approximation scheme. We report computational results.