Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools
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Updated
Dec 12, 2017 - Python
Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools
Amazing Collection Vehicle Routing Problem
Package Python applications using Google or-tools for AWS Lambda.
A REST API that creates work shifts for employess. Build with Bottle.py and Google OR-Tools.
The aim of the project is leverage linear programming in supply chain optimization problem
Repository for various solutions to the vehicular routing problem using AI
Flask REST API Server using Google Route Optimisation library
Routing Simulator for the Dial-a-Ride Problem (DARP) using Google Operations Research Tools (Google OR-Tools) to generate the routing solutions. Master's degree project.
Using Vehicle Routing Problems to model regional library delivery route structures
Google or-tools implementation examples
Solving some AI Problems
The FIC Class Scheduler is a course schedule planning tool to help administrative staff develop class schedules which respect the preferences of the teaching staff and maximize their course offerings in the space available.
Experiments in building a constraint workbench.
The aim of this project is to analyze demand/supply trends for bike sharing applications in central London. The project is split into two parts a Data Analysis section and an Optimization Model for solving the Bike Reposition Problem.
Collection of puzzles transformed into constraint satisfaction problems (CSPs) and solved using Google's or-tools
A solution developed to Map essential COVID-19 Relief resources to the needy across a city in the most cost-optimal way, and also to classify incoming SOS messages from those in need of help, for organizational and lesser response times.
This is my repo for CS106 - Artificial Intelligence, Spring 2021, University of Information Technology, Vietnam National University - HCMC
Code to optimize the route of a truck that collects weight using Google OR-Tools CVRP model and Distance Matrix API.
This program calculates the optimal solution to the Capacitated Vertex Separator Problem (CVSP) on a graph through various formulations using integer optimization approaches.
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