DocumentCode :
2460187
Title :
Effective mutation rate for probabilistic models in evolutionary analog circuit design
Author :
Mühlenbein, Heinz ; Kureichik, Victor ; Zinchenko, Lyudmilla ; Mahnig, Thilo
Author_Institution :
GMD FZ Informationstechnik, Theor. Found. GMD Lab, St. Augustin, Germany
fYear :
2002
fDate :
2002
Firstpage :
401
Lastpage :
406
Abstract :
This paper represents the following improvement of evolutionary analog circuit design on the base of the univariate marginal distribution algorithm. Experiments have indicated that the high mutation rate increases the success rate, although the computational expenses are increased as well. An effective mutation rate is considered with respect to a high success rate and small computational expenses. Experiments for analog arrays are discussed.
Keywords :
analogue integrated circuits; circuit CAD; circuit optimisation; evolutionary computation; probability; analog arrays; computational expense; computer aided circuit design; evolutionary analog circuit design; experiments; mutation rate; probabilistic models; univariate marginal distribution algorithm; Algorithm design and analysis; Analog circuits; Circuit optimization; Circuit synthesis; Circuit topology; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
Print_ISBN :
0-7695-1733-1
Type :
conf
DOI :
10.1109/ICAIS.2002.1048140
Filename :
1048140
Link To Document :
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