Untidy Evolution: Evolving Messy Gates for Fault Tolerance

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@InProceedings{ICES2001,

• author = "Julian F. Miller and Morten Hartmann",
• title = "Untidy Evolution: Evolving Messy Gates for Fault Tolerance",
• booktitle = "Evolvable Systems: From Biology to Hardware: 4th International Conference, ICES 2001",
• year = "2001",
• editor = "Yong Liu and Kiyoshi Tanaka and Masaya Iwata and Tetsuya Higuchi and Moritoshi Yasunaga",
• volume = "2210",
• series = "LNCS",
• pages = "14--25",
• address = "Tokyo, Japan",
• month = "3-5 " # oct,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-42671-X",
• ISSN = "0302-9743",
• URL = "http://www.elec.york.ac.uk/intsys/users/jfm7/ices2001.pdf",
• DOI = "doi:10.1007/3-540-45443-8_2",
• abstract = "The exploitation of the physical characteristics has already been demonstrated in the intrinsic evolution of electronic circuits. This paper is an initial attempt at creating a world in which {"}physics{"} can be exploited in simulation. As a starting point we investigate a model of gate-like components with added noise. We refer to this as a kind of messiness . The principal idea behind these messy gates is that artificial evolution makes a virtue of the untidiness. We are ultimately trying to study the question: What kind of components should we use in artificial evolution? Several experiments are described that show that the messy circuits have a natural robustness to noise, as well as an implicit fault-tolerance. In addition, it was relatively easy for evolution to generate novel circuits that were surprisingly efficient.",

}

Genetic Programming entries for Julian F Miller Morten Hartmann

Citations