Designing a morphogenetic system for evolvable hardware

Authors:
Justin Lee;Joaquin Sitte
Affiliations:
Smart Devices Laboratory, Faculty of Information Technology, Queensland University of Technology, Brisbane, Qld, Australia;Smart Devices Laboratory, Faculty of Information Technology, Queensland University of Technology, Brisbane, Qld, Australia
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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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.