Algorithm applied to solve three-tiered optimization problem of UGV and UAV routing. This is a part of our research work https://rdcu.be/cVNpM published in Journal of Intelligent and Robotic Systems (JINT).

Mixed Integer Linear Programming (MILP) Model for Keccak-p[400]

MILP-based optimization of macro/micro base station deployment for wireless networks. Includes full simulation in Colab and analytical comparison of coverage, capacity, and cost.

Comprehensive Security Analysis of CRAFT

Our experience in AB Inbev Brewing data cup 2020 for Mexico

CO2 Network Optimization Tool for Carbon Sequestration economics

A Mixed Integer Linear Programming implementation of the Divisor Graph Longest Path problem

comparing mixed-integer linear program solvers with sat solvers using the python PuLP library

This repository implements a MILP model using Python to optimize a multistage batch production scheduling problem in a steel manufacturing context

This is a simple practice in issue of Operation Research (OR). The repository contains two question of nonlinear integer programming.

This program optimizes the operation and bidding strategy of renewable-based Virtual Power Plants (RVPPs) under different sources of uncertainty using MILP-based flexible robust optimization approaches. The model considers RVPP participation in the Day-Ahead, Secondary Reserve, and Intra-Day Iberian electricity markets.

Fleet Size and Mix Vehicle Routing Problem with Time Windows and Step Cost functions: Instances e solutions

This project proposes an approach to solve the passenger flight rescheduling problem introduced in https://hal-enac.archives-ouvertes.fr/hal-03701665/document.

This project was made in 4 days.

Code and instances related to the Clustered Traveling Salesman Problem with d-Relaxed Priority Rule (CTSP-d)

A novel image compressor based on a mixed integer linear program

This notebook expand the Linear Programming with Python by tstran155 by using MILP technique to solve Problem #8.

We implemented a matheuristic algorithm integrating Iterative Restricted Space Search heuristics and exact methods in order to solve different instances of the TSP.

Mixed-integer programming model in Python/CPLEX for optimal TV advertising schedule with budgets, reach targets, and competitor constraints.

Improving the scheduling of railway maintainance projects by minimizing passengers delays subject to event requests of railway operators through mixed integer linear programming optimisation.