DocumentCode
2251494
Title
Analogic Implementation of the Genetic Algorithm
Author
Balya, David ; Gal, Viktor
Author_Institution
Analogic & Neural Comput. Syst. Lab., Comput. & Autom. Res. Inst., Budapest
fYear
2006
fDate
28-30 Aug. 2006
Firstpage
1
Lastpage
6
Abstract
The CNN literature contains several papers about how to use the genetic algorithms for template tuning. This paper shows a possible CNN-UM implementation of the control algorithm of the genetic algorithm in a special fine-grained parallel version. The interesting of the analogic mapping is the different set of operators, which can be evaluated fast and efficient on the CNN-UM platform. The rational behind the spatial implementation is the possibility of focal-plane optimization
Keywords
cellular neural nets; genetic algorithms; CNN-UM implementation; analogic mapping; focal-plane optimization; genetic algorithm; Algorithm design and analysis; Application software; Application specific integrated circuits; Biological cells; Biomedical computing; Cellular neural networks; Computer networks; Evolution (biology); Genetic algorithms; Genetic mutations; CNN; Genetic algorithms; Optimization; Spatial computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location
Istanbul
Print_ISBN
1-4244-0640-4
Electronic_ISBN
1-4244-0640-4
Type
conf
DOI
10.1109/CNNA.2006.341617
Filename
4145857
Link To Document