Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

Abstract

Mixed-integer nonlinear programming (MINLP) is concerned with finding optimal solutions to mathematical formulations of optimization problems combining discrete and nonlinear phenomena. The scientific program was organized around three areas: convex envelopes and relaxation hierarchies, mixed-integer optimal control, and current trends. These topics were addressed with a variety of tutorials, talks, and short research announcements.