3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO
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Updated
Apr 18, 2023 - Jupyter Notebook
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
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(人工智能+运筹学)及软件工程技术建模和解决员工排班(包括护士排班)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
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.
Google or-tools implementation examples
This script uses constraint programming to devise the optimal skeleton at the Bone Market in Fallen London.
A powerful Python library for operations research. Define, solve, and interact with mathematical models in a standardized manner across different optimization packages.
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.
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