TY  - THES
Y1  - 2012///
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:
Griewank's Function in [-10:10]

PB  - University of Trento
AV  - public
TI  - Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]
KW  - Evolutionary Optimization
A1  - Mengon, M.
ID  - elediasc12595
UR  - http://www.eledia.org/students-reports/595/
ER  -