A numerical investigation of adaptation in populations of random boolean networks

Ney Lemke, Mombach, Jose’e C.M. and Bardo E.J. Bodmann

Physica A: Statistical Mechanics and its Applications, 2001, vol. 301, issue 1, 589-600

Abstract: We investigate the adaptation of random boolean networks that are a model for regulatory gene networks. The model considers a general genetic algorithm and a fitness function that takes into account the full network dynamical behavior. We propose a mathematical function to quantify the complexity catastrophe. We also find that the latter occurs when the task complexity increases, i.e., using networks with longer periods. Finally, we discuss a scenario that describes the adaptation on the proposed fitness landscape.

Keywords: Random boolean networks; Genetic regulatory networks; Cellular automata; Disordered systems (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:301:y:2001:i:1:p:589-600

DOI: 10.1016/S0378-4371(01)00372-7

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