DocumentCode
2933191
Title
Genetic algorithm for artificial neurogenesis
Author
Clergue, Manuel ; COLLARD, Philippe
Author_Institution
13S Lab., Valbonne, France
fYear
1998
fDate
4-9 May 1998
Firstpage
410
Lastpage
415
Abstract
The paper presents a neurogenesis process based on the protein regulation system. The novelty is in applying some genetic algorithm work with neurogenesis, in particular work on genetic operators and work on fitness landscapes. In order to get relevant tests with reduced simulation costs, neurogenesis is applied to a well know problem, the cart-pole system, then results are commented
Keywords
genetic algorithms; neural nets; simulation; artificial neurogenesis; cart-pole system; fitness landscapes; genetic algorithm; genetic operators; protein regulation system; reduced simulation costs; relevant tests; Biological cells; Costs; Encoding; Genetic algorithms; Network synthesis; Neural networks; Neurons; Production; Proteins; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-4869-9
Type
conf
DOI
10.1109/ICEC.1998.699790
Filename
699790
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