Beielstein, ThomasParsopoulos, Konstantinos E.Vrahatis, Michael N.2004-12-072004-12-0720022002-04-08http://hdl.handle.net/2003/542010.17877/DE290R-15305In this paper, a first analysis of the Particle Swarm Optimization (PSO) method's parameters, using Design of Experiments (DOE) techniques, is performed, and important settings as well as interactions among the parameters, are investigated (screening).enUniversität DortmundReihe Computational Intelligence ; 124004Tuning PSO Parameters Through Sensitivity Analysisreport