Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming
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- @InProceedings{Sekanina:2016:GECCOcomp,
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author = "Lukas Sekanina and Vlastimil Kapusta",
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title = "Visualisation and Analysis of Genetic Records Produced
by Cartesian Genetic Programming",
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booktitle = "GECCO '16 Companion: Proceedings of the Companion
Publication of the 2016 Annual Conference on Genetic
and Evolutionary Computation",
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year = "2016",
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isbn13 = "978-1-4503-4323-7",
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pages = "1411--1418",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming",
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month = "20-24 " # jul,
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organisation = "SIGEVO",
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address = "Denver, Colorado, USA",
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DOI = "doi:10.1145/2908961.2931740",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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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.",
- }
Genetic Programming entries for
Lukas Sekanina
Vlastimil Kapusta
Citations