Improve the flocking algorithms using GA and Boids

Issue Description:
We aim to enhance our project by implementing flocking algorithms for autonomous swarms of Unmanned Aerial Vehicles (UAVs). Flocking algorithms will play a crucial role in achieving coordinated and intelligent behavior among UAVs within the swarm.

Additional Details:

• Objective: Implement flocking algorithms for UAVs to achieve coordinated movement.
• Expected Outcome: A robust implementation of flocking algorithms that allows UAVs to exhibit collective behavior, such as cohesion, alignment, and separation.

Instructions for Implementation:

1. Fork the repository to your local environment.
2. Create a new branch for the flocking algorithm implementation.
3. Implement the flocking algorithms based on established principles in swarm intelligence.
4. Test the integration thoroughly to ensure smooth coordination among UAVs.
5. Consider scalability and efficiency in the implementation for varying swarm sizes.
6. Submit a pull request for review.

Note:
If you have any questions or need further clarification on the requirements, feel free to comment on this issue.

Your contribution to the implementation of flocking algorithms for autonomous swarms of UAVs is highly valued.