On the evolution of scale-free topologies with a gene regulatory network model
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- @Article{Nicolau2009137,
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author = "Miguel Nicolau and Marc Schoenauer",
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title = "On the evolution of scale-free topologies with a gene
regulatory network model",
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journal = "Biosystems",
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volume = "98",
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number = "3",
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pages = "137--148",
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year = "2009",
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note = "Evolving Gene Regulatory Networks",
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keywords = "genetic algorithms, genetic programming, Gene
regulatory network, Scale-free topologies, Evolutionary
computation",
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ISSN = "0303-2647",
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DOI = "doi:10.1016/j.biosystems.2009.06.006",
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broken = "http://www.sciencedirect.com/science/article/B6T2K-4WNRK69-2/2/013f6a014ede1c6a867b6d15f547d2f2",
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abstract = "A novel approach to generating scale-free network
topologies is introduced, based on an existing
artificial gene regulatory network model. From this
model, different interaction networks can be extracted,
based on an activation threshold. By using an
evolutionary computation approach, the model is allowed
to evolve, in order to reach specific network
statistical measures. The results obtained show that,
when the model uses a duplication and divergence
initialisation, such as seen in nature, the resulting
regulation networks not only are closer in topology to
scale-free networks, but also require only a few
evolutionary cycles to achieve a satisfactory error
value.",
- }
Genetic Programming entries for
Miguel Nicolau
Marc Schoenauer
Citations