/Hackathon-Decaux

Algorithm developed during a JCDecaux Hackathon

Primary LanguageJupyter Notebook

Introduction

We developed this solution during a 24h Hackathon by JCDecaux. We were asked to solve an allocation problem, which consisted in allocating faces to a maximum of client (named brief). Constraints were to answer one brief at a time without knowing about following ones, and to spread equally throughout the territory.

Results

This algorithm generated the best results in terms of client satisfaction (number of client who had their campaign accepted), and revenue.

results

Tools

GLOP - Google Linear Optimization Package

Contributors

Alexandra Petitjean

Fahd El Mazouni

Jérôme Desmares

Victor Four