On the Effectiveness of Genetic Operations in Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{DBLP:conf/eurocast/BurlacuAK15,

• author = "Bogdan Burlacu and Michael Affenzeller and Michael Kommenda",
• title = "On the Effectiveness of Genetic Operations in Symbolic Regression",
• booktitle = "15th International Conference Computer Aided Systems Theory, EUROCAST 2015",
• year = "2015",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "9520",
• series = "Lecture Notes in Computer Science",
• pages = "367--374",
• address = "Las Palmas de Gran Canaria, Spain",
• month = feb # " 8-13",
• publisher = "Springer",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, Evolutionary dynamics, Algorithm analysis, Symbolic regression",
• isbn13 = "978-3-319-27339-6",
• URL = "https://doi.org/10.1007/978-3-319-27340-2_46",
• DOI = "doi:10.1007/978-3-319-27340-2_46",
• timestamp = "Thu, 25 May 2017 00:43:36 +0200",
• biburl = "https://dblp.org/rec/bib/conf/eurocast/BurlacuAK15",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• abstract = "This paper describes a methodology for analysing the evolutionary dynamics of genetic programming (GP) using genealogical information, diversity measures and information about the fitness variation from parent to offspring. We introduce a new subtree tracing approach for identifying the origins of genes in the structure of individuals, and we show that only a small fraction of ancestor individuals are responsible for the evolution of the best solutions in the population.",

}

Genetic Programming entries for Bogdan Burlacu Michael Affenzeller Michael Kommenda

Citations