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VRP Benchmarks
This repository contains a benchmark dataset for the Vehicle Routing Problem (VRP), designed to closely mimic real-world scenarios by replicating realistic distributions of data.
Overview
The Vehicle Routing Problem is a complex optimization challenge in logistics and transportation. Our benchmark provides a comprehensive dataset that researchers and practitioners can use to test and compare different VRP algorithms and solutions.
Key Features
- Realistic data distributions
- Varied problem instances
- Comprehensive metadata
- Easy integration with popular VRP solvers
Dataset
Our dataset is generated to closely resemble real-life scenarios. It includes:
- Customer locations
- Demand quantities
- Time windows
- Vehicle capacities
- Depot locations
The data generation process takes into account various factors such as population density, traffic patterns, and typical business distributions to create a highly realistic benchmark.
Usage
To use this benchmark:
Clone the repository:
git clone https://github.com/ahmedheakl/vrp-benchmarks.gitInstall the required dependencies (list them here or refer to a requirements file)
Load the dataset using your preferred VRP solver or algorithm
Run your experiments and compare results with other solutions
Citation
If you use this benchmark in your research, please cite it as follows:
[Add citation information here]
License
This project is licensed under the [MIT License] - see the LICENSE.md file for details.
Contact
For questions or feedback, please open an issue in this repository or contact [Ahmed Heakl] at [[email protected]].
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