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README update
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README.md

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[![Deploy](https://github.com/hasnainroopawalla/Ant-Colony-Optimization/actions/workflows/deploy.yml/badge.svg)](https://github.com/hasnainroopawalla/Ant-Colony-Optimization/actions/workflows/deploy.yml)
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[![PyPi version](https://img.shields.io/pypi/v/aco_routing.svg)](https://pypi.python.org/pypi/aco_routing/)
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[![Python versions](https://img.shields.io/pypi/pyversions/aco_routing.svg?style=plastic)](https://img.shields.io/pypi/pyversions/aco_routing.svg?style=plastic)
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![Status](https://img.shields.io/badge/status-stable-green.svg)
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![Downloads](https://img.shields.io/pypi/dm/aco_routing.svg)
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A Python package to find the shortest path in a graph using Ant Colony Optimization (ACO).
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- It simulates a real-life city, where the traffic conditions change every episode in a conditionally stochastic manner.
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- The ants continue to find the shortest path even after the traffic conditions change.
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> In progress: [The AntNet Algorithm](https://arxiv.org/abs/1610.04586).
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<hr>
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## Contributing
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- Post any issues and suggestions on the GitHub [issues](https://github.com/hasnainroopawalla/Ant-Colony-Optimization/issues) page.
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- To contribute, fork the project and then create a pull request back to master.
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## License
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This project is licensed under the MIT License - see the [LICENSE](https://github.com/hasnainroopawalla/Ant-Colony-Optimization/blob/73b65a6fd14e3e5517b479cfecac1140f0ae7899/LICENSE) file for details.

setup.py

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setup(
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name="aco_routing",
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version="1.0.2",
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version="1.0.3",
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packages=find_packages(exclude="tests"),
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description="A Python package to find the shortest path in a graph using Ant Colony Optimization (ACO).",
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long_description=long_description,

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