Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Sekanina:2016:GECCOcomp,

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