ReNCoDe: a regulatory network computational device

Authors

Abstract

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.

Keywords

Evolutionary Computation, Genetic Programming, Regulatory Networks

Subject

Genetic Programming

Conference

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