3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO

Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) solver written in Python.

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

An automatic rostering system that can handle skill mix requirements, staff requests and shift sequence rules

EA FC 24 Automated SBC Solving using Integer Programming ⚽

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

Modelling and Solving Employee Shift Scheduling (Including Nurse Rostering) Problems Using Constraint Programming (Combination of Artificial Intelligence and Operations Research) and Software Engineering Technologies 应用约束规划(人工じんこう智能ちのう+运筹学がく)及软件けん工程こうてい技わざ术建模も和解わかい决员工こう排はい班はん(包括ほうかつ护士排はい班はん)调度问题

[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"

efficient Game of Life in Python

A solver for Traveling Salesman Problem with tunable metaheuristics

Gerador da Grade de Horário.

OR-Tools is an open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.

Web app for solving simple VRP problems. Django is used as a web framework, and Google's OR-Tools as a solver.

This script uses constraint programming to devise the optimal skeleton at the Bone Market in Fallen London.

Google or-tools implementation examples

A powerful Python library for operations research. Define, solve, and interact with mathematical models in a standardized manner across different optimization packages.

Vehicle Routing Problem (VRP) demo with OSMnx and OR-Tools

Exploring Reinforcement Learning Solutions to the Vehicle Routing Problem. PPO, A2C, DQN, SAC

Automatically schedule your tasks using AI

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.