Model Complexity Control in Straight Line Program Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/ijcci/AlonsoMB13,

• author = "Cesar Luis Alonso and Jose Luis Montana and Cruz Enrique Borges",
• title = "Model Complexity Control in Straight Line Program Genetic Programming",
• booktitle = "Proceedings of the 5th International Joint Conference on Computational Intelligence, IJCCI 2013",
• year = "2013",
• editor = "Agostinho C. Rosa and Antonio Dourado and Kurosh Madani Correia and Joaquim Filipe and Janusz Kacprzyk",
• pages = "25--36",
• address = "Vilamoura, Algarve, Portugal",
• month = "20-22 " # sep,
• publisher = "SciTePress",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-989-8565-77-8",
• bibdate = "2014-05-15",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ijcci/ijcci2013.html#AlonsoMB13",
• URL = "https://ijcci.scitevents.org/Abstract.aspx?idEvent=0fEvcjBHBM8=",
• URL = "https://www.scitepress.org/Link.aspx?doi=10.5220/0004554100250036",
• DOI = "doi:10.5220/0004554100250036",
• abstract = "In this paper we propose a tool for controlling the complexity of Genetic Programming models. The tool is supported by the theory of Vapnik-Chervonekis dimension (VCD) and is combined with a novel representation of models named straight line program. Experimental results, implemented on conventional algebraic structures (such as polynomials) and real problems, show that the empirical risk, penalized by suitable upper bounds for the Vapnik-Chervonenkis dimension, gives a generalisation error smaller than the use of statistical conventional techniques such as Bayesian or Akaike information criteria.",
• notes = "See also \cite{Alonso:2016:CI}",

}

Genetic Programming entries for Cesar Luis Alonso Jose Luis Montana Arnaiz Cruz Enrique Borges

Citations