Paper
Preprint on the nonconvex features in SHOT
A preprint describing SHOT's strategies for nonconvex MINLP, with benchmarks on nonconvex MINLP and MIQCQP problems.
A new preprint describes the nonconvex features in SHOT, and includes benchmarks on nonconvex MINLP and MIQCQP problems:
Lundell, A. and Kronqvist, J. Polyhedral approximation strategies in nonconvex mixed-integer nonlinear programming. Optimization Online (2020). optimization-online.org
The final version was published in the Journal of Global Optimization.