An empirical analysis of convergence related particle swarm optimization
Milan R. Rapaić, Željko Kanović, Zoran D. Jeličić · International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering · 2009
In this paper an extensive empirical analysis of recently introduced Particle Swarm Optimization algorithm with Convergence Related parameters (CR-PSO) is presented. The algorithm is tested on extended set of benchmarks and the results are compared to the PSO with time-varying acceleration coefficients (TVAC-PSO) and the standard genetic algorithm (GA).