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Detail publikačního výsledku
SEKANINA, L.; KAPUSTA, V.
Originální název
Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
Cartesian genetic programming (CGP) is a branch of genetic programming in which candidate designs are represented using directed acyclic graphs. Evolutionary circuit design is the most typical application of CGP. This paper presents a new software tool - CGPAnalyzer - developed to analyse and visualise a genetic record (i.e. a log file) generated by CGP-based circuit design software. CGPAnalyzer automatically finds key genetic improvements in the genetic record and presents relevant phenotypes. The comparison module of CGPAnalyzer allows the user to select two phenotypes and compare their structure, history and functionality. It thus enables to reconstruct the process of discovering new circuit designs. This feature is demonstrated by means of the analysis of the genetic record from a 9-parity circuit evolution. The CGPAnalyzer tool is a desktop application with a graphical user interface created using Java v.8 and Swing library.
Anglický abstrakt
Klíčová slova
Cartesian genetic programming, Digital circuit, Visualisation
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
23.07.2016
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
978-1-4503-4323-7
Kniha
GECCO'16 Companion
Strany od
1411
Strany do
1418
Strany počet
8
URL
https://www.fit.vut.cz/research/publication/11141/
BibTex
@inproceedings{BUT130962, author="Lukáš {Sekanina} and Vlastimil {Kapusta}", title="Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming", booktitle="GECCO'16 Companion", year="2016", pages="1411--1418", publisher="Association for Computing Machinery", address="New York", doi="10.1145/2908961.2931740", isbn="978-1-4503-4323-7", url="https://www.fit.vut.cz/research/publication/11141/" }
Dokumenty
vizgecco16