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Supervised Evolution: Research Concerning the Number of Evolutions that Occur Under Certain Constraints
Author(s) -
Jäntschi Lorentz,
Bolboacă Sorana D.
Publication year - 2013
Publication title -
chemical biology and drug design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 77
eISSN - 1747-0285
pISSN - 1747-0277
DOI - 10.1111/cbdd.12190
Subject(s) - weibull distribution , evolution strategy , partition (number theory) , distribution (mathematics) , statistical physics , computer science , partition coefficient , time evolution , mathematics , statistics , biological system , evolutionary biology , algorithm , evolutionary algorithm , mathematical optimization , biology , physics , combinatorics , chemistry , mathematical analysis , chromatography , quantum mechanics
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 W eibull distribution fits well with the number of evolutions at a significance level of 5% for any evolution strategy. Furthermore, the W eibull distribution could not be rejected when different merged samples were investigated.