Welcome to the PSO Algorithm repository! This project features a Particle Swarm Optimization (PSO) algorithm implemented in C#. The purpose of this algorithm is to determine the optimal position for a target node within a network, based on fixed node locations.

To utilize the PSO algorithm, follow these steps:

1. Open the Program.cs file.

2. Customize the problem-specific parameters according to your requirements:

   • numParticles: Specify the number of particles in the swarm.
   • numDimensions: Define the number of dimensions in the problem (e.g., X and Y coordinates).
   • maxIterations: Set the maximum number of iterations for the algorithm.
   • inertiaWeight: Adjust the weight for the inertia component in particle movement.
   • cognitiveWeight: Modify the weight for the cognitive component in particle movement.
   • socialWeight: Adapt the weight for the social component in particle movement.

3. Define the fixed node locations by creating a list of ANU objects and adding them to the fixedNodeLocations list. Each ANU object represents a fixed node with X and Y coordinates.

4. Run the program.

5. The algorithm will execute the optimization process and provide the optimal position for the target node.

Feel free to customize the PSO algorithm to meet your specific requirements. Here are a few suggestions for possible modifications:

• Adjust the fitness function (CalculateFitness) to reflect the goals and characteristics of your problem domain.
• Modify the constraints and validity checks in the UpdateANU method to enforce specific boundaries or restrictions on the particle positions.
• Extend the ANU class with additional properties or methods to represent more complex node characteristics.

This project is licensed under the MIT License, granting you the freedom to use and modify the code according to your needs.

We would like to acknowledge the following:

• The PSO algorithm implementation is based on the Particle Swarm Optimization concept and its application to the problem of finding the optimal position for a target node in a network.

• Please note that the code provided in this repository serves as a basic implementation of the PSO algorithm and is intended for educational purposes. For real-world scenarios, further customization and adaptation may be necessary.

Thank you for using the PSO Algorithm repository. If you have any questions or feedback, please don't hesitate to reach out.