TY  - THES
KW  - Evolutionary Optimization
M1  - masters
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]

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