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

PB  - University of Trento
A1  - Mengon, M.
M1  - masters
ID  - elediasc12595
TI  - Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]
AV  - public
Y1  - 2012///
UR  - http://www.eledia.org/students-reports/595/
ER  -