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Found 8 papers, 2 papers with code
Trackable Agent-based Evolution Models at Wafer Scale
Continuing improvements in computing hardware are poised to transform capabilities for in silico modeling of cross-scale phenomena underlying major open questions in evolutionary biology and artificial life, such as transitions in individuality, eco-evolutionary dynamics, and rare evolutionary events.
On the Robustness of Lexicase Selection to Contradictory Objectives
Ultimately, we find that lexicase and epsilon-lexicase selection each have a region of parameter space where they are incapable of optimizing contradictory objectives.
Runtime phylogenetic analysis enables extreme subsampling for test-based problems
We introduce phylogeny-informed subsampling, a new class of subsampling methods that exploit runtime phylogenetic analyses for solving test-based problems.
Reachability Analysis for Lexicase Selection via Community Assembly Graphs
We then demonstrate that this approach can be successfully applied to a complex genetic programming problem.
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.
Calculating lexicase selection probabilities is NP-Hard
Calculating the probability of an individual solution being selected under lexicase selection is an important problem in attempts to develop a deeper theoretical understanding of lexicase selection, a state-of-the art parent selection algorithm in evolutionary computation.
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.
Controlling the speed and trajectory of evolution with counterdiabatic driving
The pace and unpredictability of evolution are critically relevant in a variety of modern challenges: combating drug resistance in pathogens and cancer, understanding how species respond to environmental perturbations like climate change, and developing artificial selection approaches for agriculture.
Statistical Mechanics Populations and Evolution
