Abstract
In this paper, we examine the usefulness of recombination from two points of view. First, the problem of crossover disruption is investigated. This is done by comparing two Genetic Algorithms with different crossover operators (one-point and uniform) to each other on NK-landscapes with different values of K relative to N, and with different epistatic interactions (random and nearest neighbor). Second, the usefulness of recombination in relation to the location of local optima in the fitness landscape is investigated.
There appears to be a clear relation between the type of fitness landscape and the type of recombination that is most useful on this landscape. Furthermore, there also is a clear relation between the location of local optima in the fitness landscape and the usefulness of recombination.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
L. J. Bain and M. Engelhardt. Introduction to Probability and Mathematical Statistics. Duxbury Press, 1987.
D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, 1989.
J. H. Holland. Adaptation in Natural and Artificial Systems. MIT Press, 2nd edition, 1992.
W. Hordijk. Population Flow on Fitness Landscapes. Master's thesis, Erasmus University Rotterdam, 1994. Available via anonymous ftp at ftp.cs.few.eur.nl in pub/doc/masterstheses.
S. A. Kauffman. Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press, 1993.
B. Manderick, M. de Weger, and P. Spiessens. The Genetic Algorithm and the Structure of the Fitness Landscape. In R. K. Belew and L. B. Booker, editors, Proceedings of the Fourth International Conference on Genetic Algorithms, pages 143–150. Morgan Kaufmann, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hordijk, W., Manderick (1995). The usefulness of recombination. In: Morán, F., Moreno, A., Merelo, J.J., Chacón, P. (eds) Advances in Artificial Life. ECAL 1995. Lecture Notes in Computer Science, vol 929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59496-5_352
Download citation
DOI: https://doi.org/10.1007/3-540-59496-5_352
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59496-3
Online ISBN: 978-3-540-49286-3
eBook Packages: Springer Book Archive