Computational matter: evolving computational solutions in materials

Julian F. Miller; Haitze J. Broersma

doi:10.1145/2739482.2764939

Computational matter: evolving computational solutions in materials

Julian F. Miller, Haitze J. Broersma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

21 Downloads (Pure)

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 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	https://doi.org/10.1145/2739482.2764939
Publication status	Published - 11 Jul 2015
Event	2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, Madrid, Spain - Meliá Castilla hotel, Madrid, Spain Duration: 11 Jul 2015 → 15 Jul 2015 http://www.sigevo.org/gecco-2015/

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/Territory	Spain
City	Madrid
Period	11/07/15 → 15/07/15
Internet address	http://www.sigevo.org/gecco-2015/

Keywords

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

Access to Document

10.1145/2739482.2764939

p769-miller

Cite this

@inproceedings{eda3d3324022425895c122357caac83b,

title = "Computational matter: evolving computational solutions in materials",

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.",

keywords = "EWI-26318, ACM-1.C.m, Genetic Algorithm, IR-98276, Evolution in materio, METIS-314969, Unconventional computing",

author = "Miller, {Julian F.} and Broersma, {Haitze J.}",

note = "eemcs-eprint-26318 ; null ; Conference date: 11-07-2015 Through 15-07-2015",

year = "2015",

month = jul,

day = "11",

doi = "10.1145/2739482.2764939",

language = "Undefined",

isbn = "978-1-4503-3488-4",

publisher = "Association for Computing Machinery (ACM)",

pages = "769--770",

editor = "Sara Silva",

booktitle = "Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015",

address = "United States",

url = "http://www.sigevo.org/gecco-2015/",

}

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, 11/07/15. https://doi.org/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: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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

A2 - Silva, Sara

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 11 July 2015 through 15 July 2015

ER -