- author = "Miguel Nicolau and Marc Schoenauer",
- title = "Evolving Scale-Free Topologies Using a Gene Regulatory Network Model",
- booktitle = "2008 IEEE World Congress on Computational Intelligence",
- year = "2008",
- editor = "Jun Wang",
- pages = "3747--3754",
- address = "Hong Kong",
- month = "1-6 " # jun,
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Genomics, Bioinformatics, Proteins, Network topology, Topology, Evolutionary computation, Biological system modeling",
- isbn13 = "978-1-4244-1823-7",
- file = "EC0795.pdf",
-
URL = "
https://inria.hal.science/inria-00327755",
-
DOI = "
10.1109/CEC.2008.4631305",
- size = "8 pages",
- 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 exhibit a much higher potential for evolution.",
-
notes = "also known as \cite{4631305}
WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",
