Computational matter: evolving computational solutions in materials

Julian F. Miller, Haitze J. Broersma

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
StatePublished - 11 Jul 2015
Event2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain - Madrid, Spain

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

Fingerprint

Carbon nanotubes
Physical properties
Gold
Earth (planet)
Nanoparticles
Temperature
Polymers

Keywords

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

Cite this

Miller, J. F., & Broersma, H. J. (2015). Computational matter: evolving computational solutions in materials. In S. Silva (Ed.), Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015 (pp. 769-770). New York: Association for Computing Machinery (ACM). DOI: 10.1145/2739482.2764939

Miller, Julian F.; Broersma, Haitze J. / Computational matter: evolving computational solutions in materials.

Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015. ed. / Sara Silva. New York : Association for Computing Machinery (ACM), 2015. p. 769-770.

Research output: Scientific - peer-reviewConference contribution

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Miller, JF & Broersma, HJ 2015, Computational matter: evolving computational solutions in materials. in S Silva (ed.), Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015. Association for Computing Machinery (ACM), New York, pp. 769-770, 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain, Madrid, Spain, 11-15 July. DOI: 10.1145/2739482.2764939

Computational matter: evolving computational solutions in materials. / Miller, Julian F.; Broersma, Haitze J.

Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015. ed. / Sara Silva. New York : Association for Computing Machinery (ACM), 2015. p. 769-770.

Research output: Scientific - peer-reviewConference contribution

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Miller JF, Broersma HJ. Computational matter: evolving computational solutions in materials. In Silva S, editor, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015. New York: Association for Computing Machinery (ACM). 2015. p. 769-770. Available from, DOI: 10.1145/2739482.2764939