An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design

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@Article{Zhan2009176,

• author = "Song Zhan and Julian F. Miller and Andy M. Tyrrell",
• title = "An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design",
• journal = "Biosystems",
• volume = "98",
• number = "3",
• pages = "176--192",
• year = "2009",
• note = "Evolving Gene Regulatory Networks",
• ISSN = "0303-2647",
• DOI = "doi:10.1016/j.biosystems.2009.07.008",
• URL = "http://www.sciencedirect.com/science/article/B6T2K-4X01PGD-1/2/b462ea01f47faac7d2f3fd6703c060de",
• keywords = "genetic algorithms, genetic programming, Computational development, Computational evolution, Degeneracy, Genetic Regulatory Network, Neutrality, Protein synthesis",
• abstract = "Biology presents incomparable, but desirable, characteristics compared to engineered systems. Inspired by biological development, we have devised a multi-layered design architecture that attempts to capture the favourable characteristics of biological mechanisms for application to design problems. We have identified and implemented essential features of Genetic Regulatory Networks (GRNs) and cell signalling which lead to self-organisation and cell differentiation. We have applied this to electronic circuit design.",

}

Genetic Programming entries for Song Zhan Julian F Miller Andrew M Tyrrell

Citations