Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
497105 | Applied Soft Computing | 2007 | 7 Pages |
Abstract
The paper represents the approach to evolutionary analogue circuit design on the base of the univariate marginal distribution algorithm. In order to generate a new population the probability distribution is used instead of reproduction operators. It allows us to control evolvability of a population on mesoscopic level. Experimental results obtained have indicated that a high mutation rate increases the success rate, although computational costs are increased too. The effective mutation rate that supplies high success rate and small computational costs is examined for different weightings of the fitness function.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Heinz Mühlenbein, Lyudmilla Zinchenko, Victor Kureichik, Thilo Mahnig,