Optimizing Epochal Evolutionary Search: Population-Size Independent Theory

Nonlinear Sciences – Adaptation and Self-Organizing Systems

Scientific paper

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18 pages, 5 figures, see archive at http://www.santafe.edu/~evca/

Scientific paper

Epochal dynamics, in which long periods of stasis in population fitness are punctuated by sudden innovations, is a common behavior in both natural and artificial evolutionary processes. We use a recent quantitative mathematical analysis of epochal evolution to estimate, as a function of population size and mutation rate, the average number of fitness function evaluations to reach the global optimum. This is then used to derive estimates of and bounds on evolutionary parameters that minimize search effort.

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