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 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.

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

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

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 novel image compressor based on a mixed integer linear program

AMPL models for solving the N-Queens problem

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

MILP approach for flowshop scheduling optimization with Sequence dependent changeover