Population Diversity Leads to Short Running Times of Lexicase Selection
April 13, 2022 ยท Declared Dead ยท ๐ Parallel Problem Solving from Nature
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Authors
Thomas Helmuth, Johannes Lengler, William La Cava
arXiv ID
2204.06461
Category
cs.NE: Neural & Evolutionary
Citations
7
Venue
Parallel Problem Solving from Nature
Last Checked
4 months ago
Abstract
In this paper we investigate why the running time of lexicase parent selection is empirically much lower than its worst-case bound of O(N*C). We define a measure of population diversity and prove that high diversity leads to low running times O(N + C) of lexicase selection. We then show empirically that genetic programming populations evolved under lexicase selection are diverse for several program synthesis problems, and explore the resulting differences in running time bounds.
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