Location Independent Pattern Recognition using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7675

@InCollection{breunig:1995:LIPRGP,

• author = "Markus M. Breunig",
• title = "Location Independent Pattern Recognition using Genetic Programming",
• booktitle = "Genetic Algorithms and Genetic Programming at Stanford 1995",
• year = "1995",
• editor = "John R. Koza",
• pages = "29--38",
• address = "Stanford, California, 94305-3079 USA",
• month = "11 " # dec,
• publisher = "Stanford Bookstore",
• keywords = "genetic algorithms, genetic programming, ADF",
• ISBN = "0-18-195720-5",
• URL = "http://www.dbs.informatik.uni-muenchen.de/~breunig/HomepageResearch/Papers/PatternRecog.pdf",
• size = "10 pages",
• abstract = "This paper describes an application of genetic programming. Programs able of recognising a pattern independent of its location are evolved. Usually the evolution of programs is controlled primarily by the fitness evaluation function. This paper demonstrates how genetic programming can be encouraged to evolve programs with properties not being explicitly considered in the fitness measure like location independence. The measurements taken include the use of automatically defined functions allowing the problem to be decomposed into sub-functions, a special implementation of iteration and carefully chosen function and terminal sets. A main purpose was to minimise the restrictions imposed on the solution, i.e. giving the genetic programming as much freedom as possible while still encouraging the desired properties.",
• notes = "part of \cite{koza:1995:gagp}",

}

Genetic Programming entries for Markus M Breunig

Citations