Tutorial: Genetic Algorithm and Particle Swarm Optimization

GA and PSO: Code with comments for understanding the algorithms.

This submission contains standard implementations of GA and PSO for minimizing various 2-D test functions. The code is intended for students who wish to learn GA and PSO code line by line. Users can change a few parameters to see the effects on the algorithm behavior.

The outputs of PSOtutor.m and GAtutor.m are:

1. Simulation: Plot of all candidates as a moving scatter plot on the search space.
2. Performance: Plot of worst, median, and best solutions against the elapsed iterations.
3. Final Answer: Global minima where the run has converged.