Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms
April 27, 2017 ยท Declared Dead ยท ๐ Annual Conference on Genetic and Evolutionary Computation
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Authors
Thomas Gabor, Lenz Belzner
arXiv ID
1704.08774
Category
cs.NE: Neural & Evolutionary
Citations
9
Venue
Annual Conference on Genetic and Evolutionary Computation
Last Checked
3 months ago
Abstract
The evolutionary edit distance between two individuals in a population, i.e., the amount of applications of any genetic operator it would take the evolutionary process to generate one individual starting from the other, seems like a promising estimate for the diversity between said individuals. We introduce genealogical diversity, i.e., estimating two individuals' degree of relatedness by analyzing large, unused parts of their genome, as a computationally efficient method to approximate that measure for diversity.
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