title: Supervised evolution: research concerning the number of evolutions that occur under certain constraints.
abstract: It is known that evolution may lead to a new species while adaptation may lead to a new variety. In this manuscript, we present an analysis of the number of evolutions (defined by improvement of the score associated with an objective function of a genetic algorithm) in an experiment supervised by a genetic algorithm, experiment conducted on octan-1-ol/H20 partition coefficient of polychlorinated biphenyls. The numbers of evolutions resulted from 9 implemented evolution strategies were investigated. Evolutions arisen from the first 20 000 generations coming from 46 independent runs were recorded. A distribution analysis has been conducted for each evolution strategy. Without exception, the Weibull distribution fits well with the number of evolutions at a significance level of 5% for any evolution strategy. Furthermore, the Weibull distribution could not be rejected when different merged samples were investigated.
authors.affiliation: Department of Physics & Chemistry, Technical University of Cluj-Napoca, 103-105 Muncii Boulevard, Cluj-Napoca, 400641, Romania.
authors.forename: Lorentz
authors.initials: L
authors.lastname: Jäntschi
authors.forename: Sorana D
authors.initials: SD
authors.lastname: Bolboacă
mesh_terms: D000465:Algorithms; D000442:Octanols / Q000737:chemistry; D011078:Polychlorinated Biphenyls / Q000737:chemistry; D021281:Quantitative Structure-Activity Relationship; D014867:Water / Q000737:chemistry
chemical_list: D000442:Octanols; D014867:Water; D011078:Polychlorinated Biphenyls
keywords: genetic algorithm; number of evolutions; supervised evolution