Mathematical optimization, Reconstructability Analysis, Information Theory, Probabilistic graphical modeling, Multivariate analysis discrete multivariate modeling, Data mining
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.
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.