TY  - THES
TI  - Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Rosenbrock s Valley in [-10:10]
ID  - elediasc12596
M1  - masters
A1  - Balaara, E.
UR  - http://www.eledia.org/students-reports/596/
Y1  - 2010///
AV  - public
PB  - University of Trento
KW  - Evolutionary Optimization
N2  - 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]

ER  -