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Found 4 papers, 3 papers with code
Phylogeny-informed fitness estimation
Thus far, phylogenetic analyses have primarily been applied as post-hoc analyses used to deepen our understanding of existing evolutionary algorithms.
A suite of diagnostic metrics for characterizing selection schemes
We consider exploitation both with and without constraints, and we divide exploration into two aspects: diversity exploration (the ability to simultaneously explore multiple pathways) and valley-crossing exploration (the ability to cross wider and wider fitness valleys).
What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?
While these metrics are informative, we hypothesize that other diversity metrics are more strongly predictive of success.
An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality
We use our exploration diagnostic to investigate the exploratory capacity of lexicase selection and several of its variants: epsilon lexicase, down-sampled lexicase, cohort lexicase, and novelty-lexicase.
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