Abstract
Averaging data collected in multiple independent runs across generations is the standard method to study the behaviour of GP. We show that while averaging may represent with good resolution GP’s behaviour in the early stages of a run, it blurs later components of the dynamics. We propose two techniques to improve the situation: solution-locked averaging and solution-time binning. Results indicate that there are significant benefits in adopting these techniques.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Citi, L., Poli, R., Cinel, C.: High-significance averages of event-related potential via genetic programming. In: Riolo, R.L., O’Reilly, U.-M., McConaghy, T. (eds.) Genetic Programming Theory and Practice VII, Genetic and Evolutionary Computation, May 14-16, vol. 9, pp. 135–157. Springer, Ann Arbor (2009)
Hansen, J.C.: Separation of overlapping waveforms having known temporal distributions. Journal of neuroscience methods 9(2), 127–139 (1983)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
Luck, S.J.: An introduction to the event-related potential technique. MIT Press, Cambridge (2005)
Poli, R., Cinel, C., Citi, L., Sepulveda, F.: Reaction-time binning: a simple method for increasing the resolving power of ERP averages. Psychophysiology (Forthcoming, 2010)
Poli, R., Langdon, W.B., McPhee, N.F.: A field guide to genetic programming (With contributions by J. R. Koza) (2008), http://lulu.com , http://www.gp-field-guide.org.uk
Zhang, J.: Decomposing stimulus and response component waveforms in ERP. Journal of neuroscience methods 80(1), 49–63 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Poli, R. (2010). Solution-Locked Averages and Solution-Time Binning in Genetic Programming. In: Esparcia-Alcázar, A.I., Ekárt, A., Silva, S., Dignum, S., Uyar, A.Ş. (eds) Genetic Programming. EuroGP 2010. Lecture Notes in Computer Science, vol 6021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12148-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-12148-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12147-0
Online ISBN: 978-3-642-12148-7
eBook Packages: Computer ScienceComputer Science (R0)