Effective Mutation Rate for Probabilistic Models in Evolutionary Analog Circuit Design

Authors:
Heinz Mühlenbein;Lyudmilla Zinchenko;Victor Kureichik;Thilo Mahnig
Affiliations:
-;-;-;-
Venue:
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Year:
2002

Citing 0
Cited 4

Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasitics

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits

Proceedings of the 9th annual conference on Genetic and evolutionary computation
Application of the Univariate Marginal Distribution Algorithm to Mixed Analogue - Digital Circuit Design and Optimisation

Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A comparison of different circuit representations for evolutionary analog circuit design

ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware

Quantified Score

Hi-index	0.00

Visualization

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 smallcomputational expenses. Experiments for analog arrays are discussed.