@inproceedings{9e71b901e13842bfb3034e3c554085c8,
title = "Ancestral networks in evolutionary algorithms",
abstract = "The behaviors of populations in evolutionary algorithms can be understood in terms of the dynamics of network models whose nodes represent individuals in the population. This paper explores {"}ancestral networks{"} in which connections indicate the proximity of the nearest common ancestor of two nodes. Preliminary experimental results show that the formation of large components in such an ancestral network model can be used to identify potential convergence, and to determine when randomly reseeding part of a population can prove beneficial.",
keywords = "Ancestral networks, Convergence detection, Genetic algorithms, Network science, Reseeding",
author = "Karthik Kuber and Card, {Stuart W.} and Mehrotra, {Kishan G.} and Mohan, {Chilukuri K.}",
year = "2014",
doi = "10.1145/2598394.2598481",
language = "English (US)",
isbn = "9781450328814",
series = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery",
pages = "115--116",
booktitle = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",
note = "16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion ; Conference date: 12-07-2014 Through 16-07-2014",
}