Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1998-10-12
Nonlinear Sciences
Adaptation and Self-Organizing Systems
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.
Crutchfield James P.
Nimwegen Erik van
No associations
LandOfFree
Optimizing Epochal Evolutionary Search: Population-Size Independent Theory does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Optimizing Epochal Evolutionary Search: Population-Size Independent Theory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimizing Epochal Evolutionary Search: Population-Size Independent Theory will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-619262