Synchronization of chaotic systems using genetic and particle swarms algorithms

摘要

This work focus on the application of Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) applied for the synchronization of two chaotic systems. Therefore, the synchronization problem is considered as an optimization problem. The GA and PSO approaches are used to minimize the synchronization error between the master and the slave chaotic systems. A comparative study between the GA and the PSO is carried out through a simulation example to show the best solution in terms of convergence speed and efficiency.