DocumentCode
2911097
Title
An evolutionary system using development and artificial Genetic Regulatory Networks
Author
Zhan, Song ; Miller, Julian F. ; Tyrrell, Andy M.
Author_Institution
Dept. of Electron., Univ. of York, York
fYear
2008
fDate
1-6 June 2008
Firstpage
815
Lastpage
822
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.
Keywords
biology; genetic algorithms; artificial genetic regulatory networks; biological development; evolutionary system; multilayered design architecture; Biological system modeling; Biology computing; Cells (biology); Embryo; Feedback loop; Genetics; Organisms; Pattern formation; Protein engineering; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630890
Filename
4630890
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