Dynamics of Genetic Programming and Chaotic Time Series Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{mulloy:1996:dGPctsp,

• author = "Brian S. Mulloy and Rick L. Riolo and Robert S. Savit",
• title = "Dynamics of Genetic Programming and Chaotic Time Series Prediction",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming",
• pages = "166--174",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• URL = "http://www.pscs.umich.edu/reprints/pscs-96-001.ps.gz",
• URL = "http://citeseer.ist.psu.edu/517385.html",
• size = "9 pages",
• abstract = "An investigation into the dynamics of Genetic Programming applied to chaotic time series prediction is reported. An interesting characteristic of adaptive search techniques is their ability to perform well in many problem domains while failing in others. Because of Genetic Programming's flexible tree structure, any particular problem can be represented in myriad forms. These representations have variegated effects on search performance. Therefore, an aspect of fundamental engineering significance is to find a representation which, when acted upon by Genetic Programming operators, optimizes search performance. We discover, in the case of chaotic time series prediction, that the representation commonly used in this domain does not yield optimal solutions. Instead, we find that the population converges onto one ``accurately replicating'' tree before other trees can be explored. To correct for this premature convergence we make a simple modification to the crossover operator. In this paper we review previous work with GP time series prediction, pointing out an anomalous result related to overlearning, and report the improvement effected by our modified crossover operator.",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap20.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• notes = "GP-96",

}

Genetic Programming entries for Brian S Mulloy Rick L Riolo Robert S Savit

Citations