88 citations · 108 across the 8 of their papers we have counts for
8 papers
The impact of objective interactions on the performance of massive objective optimization algorithms
Shakiba Shahbandegan, Jose Guadalupe Hernandez, Emily Dolson
Many-objective optimization has been a field of interest over the past two decades and several evolutionary optimization algorithms have been introduced to tackle these problems; y…
ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
Max Foreback, Evan Imata, Vincent Ragusa +18
Designing scientific instrumentation often requires exploring large, highly constrained design spaces using computationally expensive physics simulations. These simulators pose sub…
On the Robustness of Lexicase Selection to Contradictory Objectives
Shakiba Shahbandegan, Emily Dolson
Lexicase and epsilon-lexicase selection are state of the art parent selection techniques for problems featuring multiple selection criteria. Originally, lexicase selection was deve…
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…
Reachability Analysis for Lexicase Selection via Community Assembly Graphs
Emily Dolson, Alexander Lalejini
Fitness landscapes have historically been a powerful tool for analyzing the search space explored by evolutionary algorithms. In particular, they facilitate understanding how easil…
Calculating lexicase selection probabilities is NP-Hard
Emily Dolson
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 l…
What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?
Jose Guadalupe Hernandez, Alexander Lalejini, Emily Dolson
It is generally accepted that "diversity" is associated with success in evolutionary algorithms. However, diversity is a broad concept that can be measured and defined in a multitu…
Controlling the speed and trajectory of evolution with counterdiabatic driving
Shamreen Iram, Emily Dolson, Joshua Chiel +8
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 r…