Evolutionary Accessibility of Modular Fitness Landscapes

@article{Schmiegelt2014EvolutionaryAO,
  title={Evolutionary Accessibility of Modular Fitness Landscapes},
  author={Benjamin Schmiegelt and J. Krug},
  journal={Journal of Statistical Physics},
  year={2014},
  volume={154},
  pages={334-355}
}
A fitness landscape is a mapping from the space of genetic sequences, which is modeled here as a binary hypercube of dimension L, to the real numbers. We consider random models of fitness landscapes, where fitness values are assigned according to some probabilistic rule, and study the statistical properties of pathways to the global fitness maximum along which fitness increases monotonically. Such paths are important for evolution because they are the only ones that are accessible to an… Expand
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