An Evolutionary System using Development and Artificial Genetic Regulatory Networks

Song Zhan; Julian F. Miller; Andy M. Tyrrell

An Evolutionary System using Development and Artificial Genetic Regulatory Networks

Song Zhan, Julian F. Miller, Andy M. Tyrrell

Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Biology presents incomparable, but desirable, characteristics compared to engineered systems. Inspired by biological development, we have devised a multi-layered design architecture that attempts to capture many of the favorable characteristics of biological mechanisms for application to design problems. In this paper we have identified and implemented essential features of Genetic Regulatory Networks (GRNs) and cell signaling so that our system exhibits self-organization which is reminiscent of aspects of biological systems.

Original language	English
Pages	815-822
Number of pages	8
Publication status	Published - Jun 2008
Event	9th IEEE Congress on Evolutionary Computation (CEC08) - Hong Kong, China Duration: 1 Jun 2008 → …

Conference

Conference	9th IEEE Congress on Evolutionary Computation (CEC08)
Country/Territory	China
City	Hong Kong
Period	1/06/08 → …

Keywords

EMBRYOGENY

Cite this

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T2 - 9th IEEE Congress on Evolutionary Computation (CEC08)

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ER -

An Evolutionary System using Development and Artificial Genetic Regulatory Networks

Abstract

Conference

Keywords

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Cite this