MATLAB Implementation of Firefly Algorithm and GSO Algorithm

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Programming implementation of Firefly Algorithm and Glowworm Swarm Optimization (GSO) algorithm using MATLAB with performance analysis and comparison

Detailed Documentation

This article focuses on Firefly Algorithm and Glowworm Swarm Optimization (GSO) algorithm, providing MATLAB-based programming implementations. The Firefly Algorithm is a nature-inspired heuristic optimization method that simulates the flashing behavior of fireflies to solve optimization problems. GSO is another swarm intelligence-based heuristic algorithm designed for optimization tasks. Using MATLAB, we will implement both algorithms with key programming features including: population initialization functions, attractiveness calculation methods, movement update equations, and fitness evaluation modules. The implementation will analyze and compare their performance metrics such as convergence speed, solution accuracy, and computational complexity to better understand their respective advantages, limitations, and application scenarios. The MATLAB code will include visualization components to demonstrate the optimization process and solution dynamics.

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