Abstract
In the previous two chapters parameters have been analyzed that are closely related to one of the variation operators. In this chapter we analyze influences of more general system parameters that are relevant in linear genetic programming. In particular, the number of registers, the number of constants, the population size, and the maximum program length will be studied. Additionally, we compare different initialization techniques for linear genetic programs. Test problems are again the approximation problem mexican hat and the classification problem spiral introduced in Section 5.8.1.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
(2007). Analysis of Control Parameters. In: Linear Genetic Programming. Genetic and Evolutionary Computation. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31030-5_7
Download citation
DOI: https://doi.org/10.1007/978-0-387-31030-5_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-31029-9
Online ISBN: 978-0-387-31030-5
eBook Packages: Computer ScienceComputer Science (R0)