facility-location-problem

This project implements methods for solving Uncapcaitated Facility Location(UFLP) nominally and under spatial demand uncertainty.

Magyar települések közúti elérhetőségének vizsgálata, néhány alkalmazással.

Using Genetic Algorithms to optimize the allocation of services or facilities to specific locations. The primary application of this project is in the context of Covid-19 vaccine center locations, aiming to strategically position vaccination facilities for efficient and widespread coverage.

Algorithm for solving optimal stocks compression problem in warehouse. The math problem is the Single-Source Capacitated Facility Location Problem.

K means clustering algorithm from scratch to solve a facility location problem (FLP).

This repository contains the code and data necessary to achieve the model presented in the paper Optimal Siting and Sizing of Electric Vehicle Energy Supplement Infrastructure in Highway Networks.

Solving facility location problem under stochastic demand using Python & Gurobi

This problem grabbed my attention and I decided to study it further and share some interesting solutions I have developed.

Multi-level coverage facility location optimization for Timor-Leste healthcare access using zone-weighted service levels and isochrone-based accessibility analysis

Solution to a two layer facility location problem, which was the subject of the 2022 KIRO challenge, a French OR challenge.

Code for converting a plant layout drawing into an undirected graph

Implementation of fundamental algorithms

[WIP - alpha] A Python library for location optimization, focussing on solving methods that can output a range of solutions rather than just the 'best' option

Capacitated Facility Location Problem – Optimization project to minimize cost and distance by selecting the best facility locations under capacity constraints.

This repository contains Python scripts that can generate and solve stochastic facility location problems based on U.S. cities.

competitive decision algorithm research in facility location problem

Public roadmap and benchmark summaries for Sarus-Optimizer: an explainable facility, transport, capacity, and ROI optimization system.

Multicapacity Facility Location algorithm, Wide Matching Algorithm (WMA)

Hackathon Iberdrola México: Modelo matemático de optimal facility location para descubrir puntos estratégicos para estaciones de carga de vehículos en un área metropolitana.

Operations Research (OR) & Mixed-Integer Linear Programming (MILP) facility location framework in Python (PuLP, CBC) to optimize municipal EV fast-charging hub siting and fleet transition.