14 citations · 20 across the 4 of their papers we have counts for
5 papers · 1 filter
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection
Ryan Boldi, Thomas Helmuth, Lee Spector
Down-sampling training data has long been shown to improve the generalization performance of a wide range of machine learning systems. Recently, down-sampling has proved effective…
Population Diversity Leads to Short Running Times of Lexicase Selection
Thomas Helmuth, Johannes Lengler, William La Cava
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 dive…
Problem-solving benefits of down-sampled lexicase selection
Thomas Helmuth, Lee Spector
In genetic programming, an evolutionary method for producing computer programs that solve specified computational problems, parent selection is ordinarily based on aggregate measur…
Comparing and Combining Lexicase Selection and Novelty Search
Lia Jundt, Thomas Helmuth
Lexicase selection and novelty search, two parent selection methods used in evolutionary computation, emphasize exploring widely in the search space more than traditional methods s…
Lexicase Selection of Specialists
Thomas Helmuth, Edward Pantridge, Lee Spector
Lexicase parent selection filters the population by considering one random training case at a time, eliminating any individuals with errors for the current case that are worse than…