Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Rosenbrock s Valley in [-10:10]

Balaara, E. (2010) Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Rosenbrock s Valley in [-10:10]. Masters thesis, University of Trento.

[img]
Preview
 Text
Abstract.A506.pdf
Download (90kB) | Preview

Abstract

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: Rosenbrock's Function in [-10:10]

Item Type: Student Project Guidelines (Masters)
Uncontrolled Keywords: Evolutionary Optimization
Subjects: M Methodologies > M EA Evolutionary Algorithms
Uncategorized > TK Master Thesis and Project Reports
URI: http://www.eledia.org/students-reports/id/eprint/596

Actions (login required)

View Item View Item
ELEDIA Student Project Activities and Theses Reports is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.