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Genetic Algorithms and Critical Phenomena

Mathematical Physics 2007-05-23 v1 math.MP

Abstract

Genetic algorithms based on natural selection and minimal fluctuations have been applied to model physical and biological systems. Critical exponents have been extracted via computational simulations of nucleation for colossal magnetoresistance, heavy ions liquid-gas phase transitions and HIV to AIDS transition.

Keywords

Cite

@article{arxiv.math-ph/0302004,
  title  = {Genetic Algorithms and Critical Phenomena},
  author = {A. Barrañón and J. A. López and C. O. Dorso},
  journal= {arXiv preprint arXiv:math-ph/0302004},
  year   = {2007}
}

Comments

11 pages, 8 figures, Contributed paper for the Latinamerican Congress of the Latinamerican Assoc. of Biomathematics (ALAB), held at CIMAT, Guanajuato, Mexico, Nov 25-28 (2002)