relation: http://www.eledia.org/students-reports/595/
title: Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]
creator: Mengon, M.
subject: TK Master Thesis and Project Reports
description: 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]  
date: 2012
type: Student Project Guidelines
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/595/1/Abstract.A505.pdf
identifier:   Mengon, M.  (2012) Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10].  Masters thesis, University of Trento.