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

Author

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  • Brutovsky, B.
  • Horvath, D.
  • Lisy, V.

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.

Suggested Citation

  • Brutovsky, B. & Horvath, D. & Lisy, V., 2008. "Inverse geometric approach for the simulation of close-to-circular growth. The case of multicellular tumor spheroids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 839-850.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:4:p:839-850
    DOI: 10.1016/j.physa.2007.10.036
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    References listed on IDEAS

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    1. Ben D. MacArthur & Richard O. C. Oreffo, 2005. "Bridging the gap," Nature, Nature, vol. 433(7021), pages 19-19, January.
    2. Mansury, Yuri & Deisboeck, Thomas S., 2004. "Simulating ‘structure–function’ patterns of malignant brain tumors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 331(1), pages 219-232.
    3. R. Solé, 2003. "Phase transitions in unstable cancer cell populations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 35(1), pages 117-123, September.
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