A chaos-driven reptile search algorithm with weighted optimization and hybrid mutation for efficient FANET clustering

Key Points

• Efficient FANET clustering was achieved using a chaos-driven reptile search algorithm, enhancing data routing.
• The method incorporates weighted optimization and hybrid mutation mechanics, leading to better performance metrics.
• This approach utilizes advanced algorithms that allow for dynamic adaptation within the network environment.
• The results suggest that integrating chaos behavior can significantly enhance clustering efficiency in networking applications.