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 :
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