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.
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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|Item Type:||Conference Paper|
|Keywords:||evolvable hardware, field programmable gate array, morphogenesis, gene expression|
|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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