Firefly Algorithm Implementation with MATLAB Code

Resource Overview

This MATLAB implementation of the Firefly Algorithm, belonging to swarm intelligence algorithms, was developed as a university project. The code features a main program with multiple functions simulating fundamental firefly behaviors, making it highly applicable in artificial intelligence optimization problems.

Detailed Documentation

This code represents a MATLAB implementation of the Firefly Algorithm, which falls under the category of swarm intelligence algorithms. Inspired by the mating behavior of fireflies, the algorithm's core principle simulates how fireflies attract mates through light intensity and movement patterns. The implementation includes key components such as: - Light intensity calculation based on objective function values - Attractiveness modeling using inverse square law of light - Movement equations controlling firefly position updates - Randomization parameters to avoid local optima Widely applied in artificial intelligence for solving optimization problems, this algorithm finds applications in image processing, data mining, and machine learning domains. Developed as a university project, this code contains a main program along with several functions that simulate essential firefly behaviors. The implementation serves as an excellent educational resource for understanding and learning the Firefly Algorithm's mechanics, featuring clear modular structure and comprehensive commenting for easy adaptation and extension.