Inverse geometric approach for the simulation of close-to-circular growth. The case of multicellular tumor spheroids

We demonstrate the power of genetic algorithms to construct a cellular automata model simulating the growth of 2D close-to-circular clusters, revealing the desired properties, such as the growth rate and, at the same time, the fractal behavior of their contours. The possible application of the approach in the field of tumor modeling is outlined.

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Year of publication:	2008
Authors:	Brutovsky, B. ; Horvath, D. ; Lisy, V.
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 387.2008, 4, p. 839-850
Publisher:	Elsevier
Subject:	Cellular automata \| Genetic algorithms \| Fractal behavior \| Tumor growth

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010591045