Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP) techniques. The system aims to efficiently allocate classrooms, ...

Co., Ltd. recently announced that its patent for "An Artificial Intelligence Optimization Method for Natural Gas Liquefaction Systems" has been authorized by the National Intellectual Property ...

Optimization-based model for EV charging station placement using combinatorial auctions. Implemented in Python with linear programming on a real highway scenario.

In this paper, we introduce an approach for constructing uncertainty sets for robust optimization using new deviation measures for random variables termed the forward and backward deviations. These ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver. Gurobi 9.0 delivers ...