English

Population Diversity Leads to Short Running Times of Lexicase Selection

Neural and Evolutionary Computing 2022-04-14 v1

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.

Keywords

Cite

@article{arxiv.2204.06461,
  title  = {Population Diversity Leads to Short Running Times of Lexicase Selection},
  author = {Thomas Helmuth and Johannes Lengler and William La Cava},
  journal= {arXiv preprint arXiv:2204.06461},
  year   = {2022}
}

Comments

12 pages, 3 figures