Population Extinction in Genetic Algorithms: Application in Evolutionary Studies

Authors:
Antonio Carvajal-Rodríguez;Fernando Carvajal-Rodríguez
Affiliations:
Área de Genética, Facultad de Biología, Universidad de Vigo, Vigo, Spain 36310;Área de Genética, Facultad de Biología, Universidad de Vigo, Vigo, Spain 36310
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

Citing 3
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Abstract

A key topic in population genetics is modeling the effect of population size on patterns of genome evolution. Here, we analyze a simple genetic algorithm which population size varies in time. We call this algorithm the genetic survival algorithm (GSA) that differs from the classical simple genetic algorithm just in that the selection model implies absolute fitness evaluation i.e. the individual survival does not depend onto the mean population fitness. It is shown that GSA provides an adequate model to study the evolution of multi-drug resistance in HIV-1 virus under anti-retroviral therapy.