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

B. Brutovsky, D. Horvath and V. Lisy

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 4, 839-850

Abstract: 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.

Keywords: Cellular automata; Genetic algorithms; Fractal behavior; Tumor growth (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:4:p:839-850

DOI: 10.1016/j.physa.2007.10.036

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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