Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015 |
| Editors | Sara Silva |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 769-770 |
| Number of pages | 2 |
| ISBN (Print) | 978-1-4503-3488-4 |
| DOIs | |
| State | Published - 11 Jul 2015 |
| Event | 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain - Madrid, Spain |
Publication series
| Name | |
|---|---|
| Publisher | ACM |
Conference
| Conference | 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain |
|---|---|
| Abbreviated title | GECCO 2015 |
| Country | Spain |
| City | Madrid |
| Period | 11/07/15 → 15/07/15 |
| Internet address |
Fingerprint
Keywords
- EWI-26318
- ACM-1.C.m
- Genetic Algorithm
- IR-98276
- Evolution in materio
- METIS-314969
- Unconventional computing
Cite this
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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-review › Conference contribution
TY - CHAP
T1 - Computational matter: evolving computational solutions in materials
AU - Miller,Julian F.
AU - Broersma,Haitze J.
N1 - eemcs-eprint-26318
PY - 2015/7/11
Y1 - 2015/7/11
N2 - 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.
AB - 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.
KW - EWI-26318
KW - ACM-1.C.m
KW - Genetic Algorithm
KW - IR-98276
KW - Evolution in materio
KW - METIS-314969
KW - Unconventional computing
U2 - 10.1145/2739482.2764939
DO - 10.1145/2739482.2764939
M3 - Conference contribution
SN - 978-1-4503-3488-4
SP - 769
EP - 770
BT - Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015
PB - Association for Computing Machinery (ACM)
ER -