Automatic tuning of standard PSO versions

We used a meta-optimization environment to compare two reference versions of the Particle Swarm Optimization (PSO) algorithm, namely Standard PSO 2006 and Standard PSO 2011, on the CEC 2013 benchmark. We first compared the performances of the two standard PSO versions using the parameter sets suggested in the literature. Then, we automatically tuned the parameter values of both algorithms, to allow the two versions to perform at their best