DIVERGENT EVOLUTION PATHS OF DIFFERENT GENETIC FAMILIES IN THE PENNA MODEL

Mikołaj Sitarz () and Andrzej Maksymowicz
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Mikołaj Sitarz: Faculty of Physics and Applied Computer Science, AGH-University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
Andrzej Maksymowicz: Faculty of Physics and Applied Computer Science, AGH-University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

International Journal of Modern Physics C (IJMPC), 2005, vol. 16, issue 12, 1917-1925

Abstract: We present some simulations results of population growth and evolution, using the standard asexual Penna model, with individuals characterized by a string of bits representing a genome containing some possible mutations. After about 20 000 simulation steps, when only a few genetic families are still present from among rich variety of families at the beginning of the simulation game, strong peaks in mutation distribution functions are observed. This known effect is due to evolution rules with hereditary mechanism. The birth and death balance in the simulation game also leads to elimination of families specified by different genomes. The number of familiesG(t)versus timetfollow the power law,G∝tn. Our results show the power coefficient exponentnis changing with time. Starting from about-1, smoothly achieves about-2after hundreds of steps, and finally has semi-smooth transition to 0, when only one family exists in the environment. This is in contrast with constantnabout-1as found, for example, in Ref. 1. We suspect that this discrepancy may be due to two different time scales in simulations — initial stages follow then ≈ -1law, yet for large number of simulation steps we getn ≈ -2, provided the random initial population was sufficiently big to allow for still reliable statistical analysis. Then ≈ -1evolution stage seems to be associated with the Verhulst mechanism of population elimination due to the limited environmental capacity — when the standard evolution rules were modified, we observed a plateau(n =0)in the power law in short time scale, again followed byn ≈ -2law for longer times. The modified model uses birth rate controlled by the current population instead of the standard Verhulst death factor.

Keywords: Aging; computer simulation; Penna model; bitstring model; Eve effect (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1142/S0129183105008436

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