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Designing a Morphogenetic System for Evolvable Hardware

Lee, Justin A. & Sitte, Joaquin (2004) Designing a Morphogenetic System for Evolvable Hardware. In Webb, Geoffrey I. & Yu, Xinghuo (Eds.) AI 2004: Advances in Artificial Intelligence, LNAI 3339, Proceedings of the 17th Australian Joint Conference on Artificial Intelligence, December 8-11, 2004, Cairns, Australia.

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Abstract

Traditional approaches to evolvable hardware (EHW), using a direct encoding, have not scaled well with increases in problem complexity. To overcome this there have been moves towards encoding a growth process, which however have not shown a great deal of success to date. In this paper we present the design of a morphogenetic EHW model that has taken the salient features of biological processes and structures to produce an evolutionary and growth model that consistently outperforms a traditional EHW approach using a direct encoding, and scales well to larger, more complex, problems.

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196 since deposited on 28 Oct 2005
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ID Code: 1809
Item Type: Conference Paper
Keywords: evolvable hardware, field programmable gate array, morphogenesis, gene expression
DOI: 10.1007/b104336
ISBN: 9783540240594
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Electrical and Electronic Engineering not elsewhere classified (090699)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2004 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 28 Oct 2005
Last Modified: 29 Feb 2012 23:08

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