ReNCoDe: A Regulatory Network Computational Device

  • Rui L. Lopes
  • Ernesto Costa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6621)


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 Regulatory (ARN) model, first proposed by Wolfgang Banzhaf. In this paper, we use this model as representation for a computational device and introduce new variation operators, showing experimentally that it is effective in solving a set of benchmark problems.


Gene Regulatory Network Benchmark Problem Symbolic Regression Computational Device Regulatory Network Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rui L. Lopes
    • 1
  • Ernesto Costa
    • 1
  1. 1.Centro de Informática e Sistemas da Universidade de CoimbraCoimbraPortugal

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