MINLPB4 solves mixed-integer nonlinear programming problems by a branch-and-bound method, where the nodes of the search tree consist either of mixed-integer or of continuous optimization problems differing only by modified bounds. These subproblems are solved by the sequential quadratic programming code MISQP in both situations.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Topaloglou, Nikolas; Tsionas, Mike G.: Stochastic dominance tests (2020)
- Exler, Oliver; Lehmann, Thomas; Schittkowski, Klaus: A comparative study of SQP-type algorithms for nonlinear and nonconvex mixed-integer optimization (2012)
- Schlüter, Martin; Gerdts, Matthias; Rückmann, Jan-J.: A numerical study of MIDACO on 100 MINLP benchmarks (2012)