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Computational matter: evolving computational solutions in materials
- 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.
- Subjects :
- Mathematical optimization
EWI-26318
Genetic Algorithm
Evolution in materio
Computer science
Computation
Evolutionary algorithm
Computational resource
ACM-1.C.m
Variety (cybernetics)
Genetic algorithm
METIS-314969
Biochemical engineering
IR-98276
Computational problem
Unconventional computing
Evolvable hardware
Subjects
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