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.

View at publisher


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.

Impact and interest:

1 citations in Scopus
1 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

242 since deposited on 28 Oct 2005
6 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 1809
Item Type: Conference Paper
Refereed: Yes
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. Lecture Notes in Computer Science
Deposited On: 28 Oct 2005 00:00
Last Modified: 29 Feb 2012 13:08

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page