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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/41668

Title: Growth control and disease mechanisms in computational embryogeny
Authors: Shapiro, Andrew A.
Yogev, Or
Antonsson, Erik K.
Keywords: Genetic algorithm
Artificial cell
Finite element
Stresses
Indirect encoding
Issue Date: 12-Jul-2008
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2010.
Abstract: This paper presents novel approach to applying growth control and diseases mechanisms in computational embryogeny. Our method, which mimics fundamental processes from biology, enables individuals to reach maturity in a controlled process through a stochastic environment. Three different mechanisms were implemented; disease mechanisms, gene suppression, and thermodynamic balancing. This approach was integrated as part of a structural evolutionary model. The model evolved continuum 3-D structures which support an external load. By using these mechanisms we were able to evolve individuals that reached a fixed size limit through the growth process. The growth process was an integral part of the complete development process. The size of the individuals was determined purely by the evolutionary process where different individuals matured to different sizes. Individuals which evolved with these characteristics have been found to be very robust for supporting a wide range of external loads.
URI: http://hdl.handle.net/2014/41668
Appears in Collections:JPL TRS 1992+

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