Tech Xplore on MSN

Smarter optimization model could cut bridge and building materials by up to 90%

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...
IEEE

A Mixed Integer Linear Programming Model for Resolution of the Antenna-Satellite Scheduling Problem

Abstract: This article deals with one of the types of “Satellite Range Scheduling” problems arising in Earth Observation Satellite operations, Antenna-Satellite Scheduling. Given a set of satellites, ...
IEEE

A Mixed-Integer Linear Programming Model for the Electric Vehicle Charging Coordination Problem in Unbalanced Electrical Distribution Systems

Abstract: This paper presents a novel mixed-integer linear programming (MILP) model for the electric vehicle charging coordination (EVCC) problem in unbalanced electrical distribution systems (EDSs).
GitHub

Constraint Matters: Multi-modal Representation for Reducing Mixed-Integer Linear Programming

Official implementation of the paper: "CONSTRAINT MATTERS: MULTI-MODAL REPRESENTATION FOR REDUCING MIXED-INTEGER LINEAR PROGRAMMING", accepted by ICLR 2026. Model reduction is a powerful way to ...
Scientific Research Publishing

Huang, L.Y., Chen, X.M., Huo, W., Wang, J.Z., Zhang, F., Bai, B. and Shi, L. (2021) Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
Concordia University

Drones could cut travel delays and reduce spoilage of donated blood, new Concordia study shows

Delivering blood from collection sites to labs is a fast-paced, labour-intensive process. Donated blood can deteriorate within a few hours at room temperature, leaving little room to manoeuvre in case ...
Microsoft

Towards Foundation Models for Mixed Integer Linear Programming

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...