An Empirical Analysis of Evolutionary Particle Swarm Optimization

Abstract

Evolutionary Particle Swarm Optimization (EPSO) is a combination of Classic Particle Swarm Optimization and Evolutionary Algorithms. In this thesis we recreate the original EPSO algorithm and analyze its performance. Furthermore we extend the algorithm with uniform recombination, another idea from Evolutionary Algorithms. Finally we analyze why EPSO performs so well, and whether our extension fixes the mistakes made by EPSO or not.