Article
Reconstructability Analysis Detection of Optimal Gene Order in Genetic Algorithms
Kybernetes
Document Type
Post-Print
Publication Date
1-1-2004
Subjects
- Mathematical optimization,
- Reconstructability Analysis,
- Information Theory,
- Probabilistic graphical modeling,
- Multivariate analysis discrete multivariate modeling,
- Data mining
Disciplines
Abstract
The building block hypothesis implies that genetic algorithm efficiency will be improved if sets of genes that improve fitness through epistatic interaction are near to one another on the chromosome. We demonstrate this effect with a simple problem, and show that information-theoretic reconstructability analysis can be used to decide on optimal gene ordering.
DOI
10.1108/03684920410534100
Persistent Identifier
http://archives.pdx.edu/ds/psu/16509
Citation Information
Zwick, M., and Shervais, S. (2004). "Reconstructability Analysis Detection of Optimal Gene Order in Genetic Algorithms." Kybernetes, vol. 33, No. 5/6, pp. 1052-1062.
Authors' version of an article that subsequently appeared in Kybernetes, published by Emerald Group Publishing Limited. The version of record may be found at http://dx.doi.org/10.1108/03684920410534100.