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

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


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Octanols / chemistry
  • Polychlorinated Biphenyls / chemistry
  • Quantitative Structure-Activity Relationship*
  • Water / chemistry


  • Octanols
  • Water
  • Polychlorinated Biphenyls