Optimizing Epochal Evolutionary Search: Population-Size Independent Theory
Erik van Nimwegen and
James P. Crutchfield
Working Papers from Santa Fe Institute
Abstract:
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 evalutations to reach the global optimum. This is then used to derive estimates of and bounds on evolutionary parameters that minimize search effort.
Date: 1998-06
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:98-06-046
Access Statistics for this paper
More papers in Working Papers from Santa Fe Institute Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().