Open AccessAverage Trends over Millennia of Evolution Supervised by Genetic Algorithms. Analysis of Phenotypes Associations
Author(s) -
Lorentz Jäntschi,
Sorana D. Bolboacă,
Mircea V. Diudea,
Radu E. SESTRAŞ
Publication year - 2010
Publication title -
bulletin of university of agricultural sciences and veterinary medicine cluj-napoca. agriculture
Language(s) - English
Resource type - Journals
eISSN - 1843-5386
pISSN - 1843-5246
DOI - 10.15835/buasvmcn-agr:5028
Subject(s) - selection (genetic algorithm) , statistics , partition (number theory) , sample size determination , phenotype , regression , mathematics , linear regression , algorithm , biology , computer science , genetics , artificial intelligence , combinatorics , gene
. A genetic algorithm (GA) had been developed and implemented in order to identify the optimal solution in term of determination coefficient and estimation power of a multiple linear regression approach of structure-activity relationships. The Molecular Descriptors Family for structure characterization of a sample of 206 polychlorinated biphenyls with measured octanol-water partition coefficients was used as case study. The research aimed to analyze the degree of association between number of viable phenotypes in cultivar in generations in which the evolution occurred and the selection and survival strategies. The GA was repeated for 46 times and the Anderson-Darling test was used to compared the distribution laws of populations occurred by using different pairs of survival and selection strategies. Here the records of association of phenotypes in pairs of four were analyzed and the conclusions were highlighted.