Solve optimization problems and build custom algorithms

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.

Comprehensive Security Analysis of CRAFT

Our experience in AB Inbev Brewing data cup 2020 for Mexico

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

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.

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

CO2 Network Optimization Tool for Carbon Sequestration economics

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

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

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

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

AMPL models for solving the N-Queens problem

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.

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

A header only factory of Traveling Salesman Problem (TSP) models built using Gurobi 12 in C++

MILP-based planning of CO₂ capture retrofit under annual hub and cumulative storage constraints.