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minlpSolve

minlpSolve is a Branch and Bound algorithm for Mixed-Integer Nonlinear Programming (MINLP) with convex or nonconvex sub problems using NLP relaxation (Formulated as minlp-IP).

Main features

  • A parameter Convex determines if the NLP subproblems are convex or not.
  • The solver has several options for node selection, such as depth and breath first.
  • It is possible to warm start the solution process.
  • Several solver options, such as variable priority, knapsack and rounding heuristics are available.

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