DocumentCode :
1637947
Title :
Combinations of genetic algorithms and neural networks: a survey of the state of the art
Author :
Schaffer, J.D. ; Whitley, David ; Eshelman, Larry J.
Author_Institution :
Philips Labs., Briarcliff Manor, NY, USA
fYear :
1992
fDate :
6/6/1992 12:00:00 AM
Firstpage :
1
Lastpage :
37
Abstract :
Various schemes for combining genetic algorithms and neural networks have been proposed and tested in recent years, but the literature is scattered among a variety of journals, proceedings and technical reports. Activity in this area is clearly increasing. The authors provide an overview of this body of literature drawing out common themes and providing, where possible, the emerging wisdom about what seems to work and what does not
Keywords :
genetic algorithms; neural nets; genetic algorithms; neural networks; Biological neural networks; Computer networks; Concurrent computing; Encoding; Genetic algorithms; Network topology; Neural networks; Scattering; Testing; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Combinations of Genetic Algorithms and Neural Networks, 1992., COGANN-92. International Workshop on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-8186-2787-5
Type :
conf
DOI :
10.1109/COGANN.1992.273950
Filename :
273950
Link To Document :
بازگشت