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Evolving Specific Network Statistical Properties using a Gene Regulatory Network Model

Miguel Nicolau 1, 2 Marc Schoenauer 1, 2
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : The generation of network topologies with specific, user-specified statistical properties is addressed using an Evolutionary Algorithm that is seeded by an Artificial Gene Regulatory Network Model. The work presented here extends previous work where the proposed approach was demonstrated to be able to evolve scale-free topologies. The present results reinforce the applicability of the proposed method, showing that the evolution of small-world topologies is also possible, but requires a carefully crafted fitness function.
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https://hal.inria.fr/inria-00377089
Contributor : Miguel Nicolau <>
Submitted on : Tuesday, April 21, 2009 - 12:45:00 PM
Last modification on : Wednesday, September 16, 2020 - 5:06:41 PM
Long-term archiving on: : Thursday, June 10, 2010 - 7:07:21 PM

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Miguel Nicolau, Marc Schoenauer. Evolving Specific Network Statistical Properties using a Gene Regulatory Network Model. Genetic and Evolutionary Computation Conference (GECCO), Jul 2009, Montreal, Canada. ⟨inria-00377089⟩

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