ReNCoDe: a regulatory network computational device



In recent years, our biologic understanding was increased with the comprehension of the multitude of regulatory mechanisms that are fundamental in both processes of inheritance and of development, and some researchers advocate the need to explore computationally this new understanding. One of the outcomes was the Artificial Gene Regu- latory (ARN) model, first proposed by Wolfgang Banzhaf. In this paper, we present a modification of this model, aimed at solving some of its limitations, and show experimentally that it is effective in solving a set of benchmark problems.


Evolutionary Computation, Genetic Programming, Regulatory Networks


Genetic Programming


14th European Conference on Genetic Programming (EuroGP 2011), April 2011

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