MATLAB Implementation of Genetic Programming Algorithm

In this documentation, I present a genetic programming source code programmed using MATLAB language. Genetic programming is an optimization algorithm that simulates biological evolutionary processes to solve complex problems. It serves as a powerful and flexible tool applicable across various domains including engineering, economics, and computer science. This source code provides a ready-to-use implementation featuring key components such as population initialization, fitness evaluation, selection operators (tournament or roulette wheel), crossover operations (subtree swapping), and mutation mechanisms. The code structure includes modular functions for tree-based chromosome representation, genetic operation handlers, and convergence monitoring. Whether you're a beginner or experienced programmer, this implementation allows easy customization of parameters like population size, maximum tree depth, mutation rate, and termination criteria to adapt to specific optimization challenges. The code incorporates efficient matrix operations and vectorized computations characteristic of MATLAB, ensuring optimal performance for evolutionary computations. Hope this source code proves valuable for your optimization projects!