Computational matter: evolving computational solutions in materials

Julian F. Miller, Haitze J. Broersma

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    Natural Evolution has been exploiting the physical properties of matter since life first appeared on earth. Evolution-in-materio (EIM) attempts to program matter so that computational problems can be solved. The beauty of this approach is that artificial evolution may be able to utilize unknown physical effects to solve computational problems. This methodology is currently being undertaken in a European research project called NASCENCE: Nanoscale Engineering for Novel Computation using Evolution. In this project, a variety of solutions to computational problems have been evolved using mixtures of carbon nanotubes and polymers at room temperature and also with gold nanoparticles at temperatures less than one Kelvin.
    Original languageUndefined
    Title of host publicationProceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015
    EditorsSara Silva
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages769-770
    Number of pages2
    ISBN (Print)978-1-4503-3488-4
    DOIs
    Publication statusPublished - 11 Jul 2015
    Event2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain - Meliá Castilla hotel, Madrid, Spain
    Duration: 11 Jul 201515 Jul 2015
    http://www.sigevo.org/gecco-2015/

    Publication series

    Name
    PublisherACM

    Conference

    Conference2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain
    Abbreviated titleGECCO 2015
    CountrySpain
    CityMadrid
    Period11/07/1515/07/15
    Internet address

    Keywords

    • EWI-26318
    • ACM-1.C.m
    • Genetic Algorithm
    • IR-98276
    • Evolution in materio
    • METIS-314969
    • Unconventional computing

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