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
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;
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
DOI :
10.1109/CEC.2008.4630890
