Firefly Algorithm Implementation

This code implements the Firefly Algorithm with MATLAB-based swarm intelligence optimization. It was developed as part of a university project focusing on metaheuristic algorithms. The application centers around a main program that utilizes several functions to simulate basic firefly behaviors, including: - Brightness calculation based on objective function values - Movement patterns governed by attraction principles - Distance-based luminosity adjustments These features make it particularly suitable for artificial intelligence applications, especially in optimization problems. Furthermore, the application can be extended by incorporating additional functionalities and algorithms to enhance its performance and applicability. Potential improvements include implementing more complex firefly behaviors such as: - Lévy flight patterns for better exploration - Adaptive parameter tuning mechanisms - Multi-objective optimization capabilities These enhancements would allow application to broader problem domains including machine learning, engineering design, and combinatorial optimization. Overall, this application demonstrates significant potential and can achieve additional functionality and effectiveness through continuous improvement and expansion. The modular structure allows for easy integration of new features while maintaining the core firefly optimization principles.