This paper provides a survey of recent progress and software for solving convex Mixed Integer Nonlinear Programs (MINLP)s, where the objective and constraints are defined by convex functions and integrality restrictions are imposed on a subset of the decision variables. Convex MINLPs have received sustained attention in recent years. By exploiting analogies to well-known techniques for solving Mixed Integer Linear Programs and incorporating these techniques into software, significant improvements have been made in the ability to solve these problems.
CITATION STYLE
Geißler, B., Martin, A., Morsi, A., & Schewe, L. (2012). Using Piecewise Linear Functions for Solving MINLPs (pp. 287–314). https://doi.org/10.1007/978-1-4614-1927-3_10
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