A Scalable Solution to N-bit Parity via Artificial Development

Tueze Kuyucu; Martin A. Trefzer; Julian F. Miller; Andy M. Tyrrell

A Scalable Solution to N-bit Parity via Artificial Development

Tueze Kuyucu, Martin A. Trefzer, Julian F. Miller, Andy M. Tyrrell

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.

The presented artificial developmental system is shown to develop a scalable parity circuit, which could be infinitely developed to build a growing parity circuit, hence, represents a general, scalable solution to n-bit parity.

The result obtained further supports the artificial developmental system as a good candidate solution to the scalability problem in evolvable hardware.

Original language	English
Title of host publication	PRIME: PROCEEDINGS OF THE CONFERENCE 2009 PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS
Place of Publication	NEW YORK
Publisher	IEEE
Pages	144-147
Number of pages	4
ISBN (Print)	978-1-4244-3732-0
Publication status	Published - 2009

Cite this

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title = "A Scalable Solution to N-bit Parity via Artificial Development",

abstract = "The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.The presented artificial developmental system is shown to develop a scalable parity circuit, which could be infinitely developed to build a growing parity circuit, hence, represents a general, scalable solution to n-bit parity.The result obtained further supports the artificial developmental system as a good candidate solution to the scalability problem in evolvable hardware.",

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AU - Kuyucu, Tueze

AU - Trefzer, Martin A.

AU - Miller, Julian F.

AU - Tyrrell, Andy M.

PY - 2009

Y1 - 2009

N2 - The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.The presented artificial developmental system is shown to develop a scalable parity circuit, which could be infinitely developed to build a growing parity circuit, hence, represents a general, scalable solution to n-bit parity.The result obtained further supports the artificial developmental system as a good candidate solution to the scalability problem in evolvable hardware.

AB - The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.The presented artificial developmental system is shown to develop a scalable parity circuit, which could be infinitely developed to build a growing parity circuit, hence, represents a general, scalable solution to n-bit parity.The result obtained further supports the artificial developmental system as a good candidate solution to the scalability problem in evolvable hardware.

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M3 - Conference contribution

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EP - 147

BT - PRIME: PROCEEDINGS OF THE CONFERENCE 2009 PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS

PB - IEEE

CY - NEW YORK

ER -

A Scalable Solution to N-bit Parity via Artificial Development

Abstract

Other files and links

Automatic Design of Adaptive Systems using Unconstrained Evolution and Development on the Poetic Platform

Cite this

A Scalable Solution to N-bit Parity via Artificial Development

Abstract

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Projects

Automatic Design of Adaptive Systems using Unconstrained Evolution and Development on the Poetic Platform

Cite this