Abstract
Sewall Wright’s adaptive landscape is the picture we all use to visualize the dynamics of evolution, at least at the microlevel. Imagine a flat plane each point of which represents a genetic state of the gene pool of a population. Upon this plane is erected a continuous topography whose height above a point describes the degree of adaptedness, or fitness, associated with the corresponding genetic state. The dynamic assumption is that natural selection moves the population upward, in the direction of increasing fitness, with equilibria at local maxima or more general critical points of the fitness function.
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Akin, E. (1987). Cycling in Simple Genetic Systems: II. The Symmetric Cases. In: Kurzhanski, A.B., Sigmund, K. (eds) Dynamical Systems. Lecture Notes in Economics and Mathematical Systems, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-00748-8_11
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DOI: https://doi.org/10.1007/978-3-662-00748-8_11
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