Technical Terms Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design ...

Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using ...

Based on a novel graph representation of the paper pop-up plan, we further propose a practical optimization algorithm via mixed-integer programming that jointly optimizes the topology and geometry of ...

This repository contains the source code of the implementation of the asynchronous decomposition algorithm for stochastic mixed-integer programs developed/presented in this research article. The ...

Highlights of This Work Learning-Based Independent Set Extraction We explore a range of algorithmic techniques that rely on repeated extraction of independent sets using Graph Convolutional Networks ...