On the Search Properties of Different Crossover Operators in Genetic Programming

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

@InProceedings{poli:1998:local,

• author = "Riccardo Poli and William B. Langdon",
• title = "On the Search Properties of Different Crossover Operators in Genetic Programming",
• booktitle = "Genetic Programming 1998: Proceedings of the Third Annual Conference",
• year = "1998",
• editor = "John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo",
• pages = "293--301",
• address = "University of Wisconsin, Madison, Wisconsin, USA",
• publisher_address = "San Francisco, CA, USA",
• month = "22-25 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-548-7",
• URL = "http://www.cs.essex.ac.uk/staff/poli/papers/Poli-GP1998.pdf",
• URL = "http://citeseer.ist.psu.edu/329745.html",
• URL = "http://citeseer.ist.psu.edu/502272.html",
• abstract = "In this paper we study and compare the search properties of different crossover operators in genetic programming (GP) using probabilistic models and experiments to assess the amount of genetic material exchanged between the parents to generate the offspring. These operators are: standard crossover, one-point crossover and a new operator, uniform crossover. Our analysis suggests that standard crossover is a local and biased search operator not ideal to explore the search space of programs effectively. One-point crossover is better in some cases as it is able to perform a global search at the beginning of a run, but it suffers from the same problems as standard crossover later on. Uniform crossover largely overcomes these limitations as it is global and less biased.",
• notes = "GP-98. Based on \cite{poli:1998:localTR}",

}

Genetic Programming entries for Riccardo Poli William B Langdon

Citations