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Computational matter: evolving computational solutions in materials

Authors :
Miller, Julian F.
Broersma, Haitze J.
Silva, Sara
Source :
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, 769-770, STARTPAGE=769;ENDPAGE=770;TITLE=Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, GECCO (Companion)
Publication Year :
2015

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.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, 769-770, STARTPAGE=769;ENDPAGE=770;TITLE=Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, GECCO (Companion)
Accession number :
edsair.doi.dedup.....fa7913a27b182d4c2feb90fb7f97e38b
Full Text :
https://doi.org/10.1145/2739482.2764939