%0 Conference Paper %1 Kalganova:2002:LMPU %A Kalganova, T. %A Baradavka, I. %B Proc. of the 9th LMPU Conference %D 2002 %K algorithms, evolvable genetic hardware programming, %P 689--696 %T A probabilistic approach to analyse the evolutionary process in circuit design %X One of the actual problems in the evolvable hardware is the evolvability of logic circuits. In order to understand better the nature of existing problem, the probabilistic analysis can be used. This paper aims to investigate how the circuit layout evolution is carried out. This is interesting thing to do for two main reasons. Firstly, to investigate what type of genes mostly influence on the algorithm performance in evolvable hardware. Secondly, to see how effective an allocation of active logic gates might be in a digital circuit design task. In order to achieve this goal we investigate the genotypes of the best chromosomes which bring some improvements in evolutionary process. The logic circuits have been evolved using circuit layout evolution.

@inproceedings{Kalganova:2002:LMPU, abstract = {One of the actual problems in the evolvable hardware is the evolvability of logic circuits. In order to understand better the nature of existing problem, the probabilistic analysis can be used. This paper aims to investigate how the circuit layout evolution is carried out. This is interesting thing to do for two main reasons. Firstly, to investigate what type of genes mostly influence on the algorithm performance in evolvable hardware. Secondly, to see how effective an allocation of active logic gates might be in a digital circuit design task. In order to achieve this goal we investigate the genotypes of the best chromosomes which bring some improvements in evolutionary process. The logic circuits have been evolved using circuit layout evolution.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Kalganova, T. and Baradavka, I.}, biburl = {https://www.bibsonomy.org/bibtex/22d653be1c4bff7fbf1e690e0e9087375/brazovayeye}, booktitle = {Proc. of the 9th LMPU Conference}, interhash = {ea28d44ae2cbe2aa42fbf9666efec28e}, intrahash = {2d653be1c4bff7fbf1e690e0e9087375}, keywords = {algorithms, evolvable genetic hardware programming,}, pages = {689--696}, timestamp = {2008-06-19T17:42:50.000+0200}, title = {A probabilistic approach to analyse the evolutionary process in circuit design}, year = 2002 }