Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex …

Oct 14, 2024 · Mixed-integer nonlinear programs (MINLPs) arise in domains as diverse as energy systems and transportation, but are notoriously difficult to solve, particularly at scale.

These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over discrete vari-able sets with the …

Mixed integer programming problems are defined as those where some or all of the decision variables are only allowed to be integers.

Mixed-integer non-linear programming (MINLP) is defined as a method for solving non-linear optimization problems that involve both continuous and discrete decision variables, often used …

Mixed Integer Nonlinear Programming (MINLP) refers to mathematical pro-gramming with continuous and discrete variables and nonlinearities in the ob-jective function and constraints.

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of …