COMPARISON OF GENETIC ALGORITHM AND PARTICLE SWARM OPTIMISATION
Karl O. Jones · 2005
In recent years the area of Evolutionary Computation has come into its own. Two of the popular developed approaches are Genetic Algorithms and Particle Swarm Optimisation, both of which are used in optimisation problems. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their implementation. The problem area chosen is that of identification of model parameters (as used in control engineering).