Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms
arXiv:1704.08774 · doi:10.1145/3067695.3082529
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.
Measuring and Promoting Diversity in Evolutionary Algorithms @ GECCO 2017