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Chem Biol Drug Des. 2013 Nov;82(5):603-11. doi: 10.1111/cbdd.12190. Epub 2013 Aug 10.

Supervised evolution: research concerning the number of evolutions that occur under certain constraints.

Author information

1
Department of Physics & Chemistry, Technical University of Cluj-Napoca, 103-105 Muncii Boulevard, Cluj-Napoca, 400641, Romania.

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.

KEYWORDS:

genetic algorithm; number of evolutions; supervised evolution

PMID:
23865567
DOI:
10.1111/cbdd.12190
[Indexed for MEDLINE]

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