DocumentCode
2251475
Title
Genetic Programming for the CNN-UM
Author
Pazienza, Giovanni Egidio ; Gomez-Ramirez, E. ; Vilasís-Cardona, Xavier
Author_Institution
Departament d´´Electronica, Univ. Ramon Llull, Barcelona
fYear
2006
fDate
28-30 Aug. 2006
Firstpage
1
Lastpage
6
Abstract
We work on automatic tools - based on evolutionary techniques - to generate analogic algorithms and for image processing. The main improvements with respect to previous similar approaches regard the fitness function, and the way in which the template set for the GP algorithm is chosen. Our approach is successfully tested for different problems
Keywords
cellular neural nets; genetic algorithms; image processing; CNN-UM; analogic algorithms; evolutionary techniques; fitness function; genetic programming; image processing; multitemplate programs; weighted Hamming distance; Algorithm design and analysis; Cellular neural networks; Electronic mail; Evolutionary computation; Genetic programming; Hamming distance; Image processing; Libraries; Topology; Turing machines; Analogic algorithms; genetic programming; multi-template programs; weighted Hamming distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location
Istanbul
Print_ISBN
1-4244-0639-0
Electronic_ISBN
1-4244-0640-4
Type
conf
DOI
10.1109/CNNA.2006.341616
Filename
4145856
Link To Document