PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Evolving Specific Network Statistical Properties using a Gene Regulatory Network Model
Miguel Nicolau and Marc Schoenauer
In: Genetic and Evolutionary Computation Conference (Genetic and Evolutionary Computation Conference 2009 (2009) ACM , pp. 723-730.

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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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:6899
Deposited By:Marc Schoenauer
Deposited On:12 April 2010