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
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