12 citations · 16 across the 4 of their papers we have counts for
4 papers
Phylogeny-Informed Interaction Estimation Accelerates Co-Evolutionary Learning
Jack Garbus, Thomas Willkens, Alexander Lalejini +1
Co-evolution is a powerful problem-solving approach. However, fitness evaluation in co-evolutionary algorithms can be computationally expensive, as the quality of an individual in…
Runtime phylogenetic analysis enables extreme subsampling for test-based problems
Alexander Lalejini, Marcos Sanson, Jack Garbus +2
A phylogeny describes the evolutionary history of an evolving population. Evolutionary search algorithms can perfectly track the ancestry of candidate solutions, illuminating a pop…
Phylogeny-informed fitness estimation
Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez +1
Phylogenies (ancestry trees) depict the evolutionary history of an evolving population. In evolutionary computing, a phylogeny can reveal how an evolutionary algorithm steers a pop…
A Static Analysis of Informed Down-Samples
Ryan Boldi, Alexander Lalejini, Thomas Helmuth +1
We present an analysis of the loss of population-level test coverage induced by different down-sampling strategies when combined with lexicase selection. We study recorded populati…