Faculty of Information Technology, BUT

Publication Details

Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming

SEKANINA Lukáš and KAPUSTA Vlastimil. Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming. In: GECCO'16 Companion. New York: Association for Computing Machinery, 2016, pp. 1411-1418. ISBN 978-1-4503-4323-7.
Czech title
Vizualizace a analýza genetických záznamů produkovaných kartézským genetickým programováním
Type
conference paper
Language
english
Authors
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT)
Kapusta Vlastimil, Ing. (FIT BUT)
URL
Keywords
Cartesian genetic programming, Digital circuit, Visualisation
Abstract
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.  
Published
2016
Pages
1411-1418
Proceedings
GECCO'16 Companion
Conference
Genetic and Evolutionary Computations Conference 2016, Denver, US
ISBN
978-1-4503-4323-7
Publisher
Association for Computing Machinery
Place
New York, US
DOI
BibTeX
@INPROCEEDINGS{FITPUB11141,
   author = "Luk\'{a}\v{s} Sekanina and Vlastimil Kapusta",
   title = "Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming",
   pages = "1411--1418",
   booktitle = "GECCO'16 Companion",
   year = 2016,
   location = "New York, US",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-4323-7",
   doi = "10.1145/2908961.2931740",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11141"
}
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