%0 Thesis
%9 Masters
%A Mengon, M.
%B ELEDIA Research Center@DISI
%D 2012
%F elediasc12:595
%I University of Trento
%K Evolutionary Optimization
%T Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]
%U http://www.eledia.org/students-reports/595/
%X The aim of the project is to analyze the performances of two evolutionary algorithms (Differential Evolution and Particle Swarm Optimizer) and Taguchi's method when dealing with benchmark functions.  In particular, this project will analyze the performances of both the algoritms for:  Griewank's Function in [-10:10]