PSO visualization for SwarmEnv

Issue Title: PSO Visualization for SwarmEnv

Description:
Implementing Particle Swarm Optimization (PSO) for visualization in the SwarmEnv environment is a valuable addition to enhance our understanding of swarm intelligence and optimization algorithms. This issue aims to incorporate PSO into the visualization toolkit for SwarmEnv, allowing users to observe and analyze the behavior of swarms under PSO optimization.

Objectives:

1. PSO Integration:

   • Integrate PSO algorithm into the existing SwarmEnv environment.

2. Visualization Components:

   • Develop visualization components to display the positions and movements of particles within the swarm during PSO optimization.

3. Parameter Tuning:

   • Allow users to adjust PSO parameters interactively for real-time observation.

4. Performance Metrics:

   • Implement performance metrics to evaluate the efficiency and convergence of PSO within the SwarmEnv.

Related Work:
This issue is related to ongoing efforts in SwarmEnv development and extends the capabilities of the environment to support PSO-based optimization.

Tasks:

• Integrate PSO algorithm into SwarmEnv codebase.
• Develop visualization components for PSO swarm behavior.
• Implement interactive parameter tuning.
• Integrate performance metrics for PSO evaluation.

References:

• Particle Swarm Optimization

Contributor Guidelines:
Contributors are encouraged to fork the repository, create a branch for this issue, and submit pull requests. Please adhere to the coding standards and documentation guidelines.