Publications (30)
Group Size Effect on the Success of Wolves Hunting
Ramon Escobedo, Denys Dutykh, Cristina Muro +2
Social foraging shows unexpected features such as the existence of a group size threshold to accomplish a successful hunt. Above this threshold, additional individuals do not incre…
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…
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
Andrew Ni, Lee Spector
The Traveling Thief Problem is an NP-hard combination of the well known traveling salesman and knapsack packing problems. In this paper, we use symbolic regression to learn useful…
DALex: Lexicase-like Selection via Diverse Aggregation
Andrew Ni, Li Ding, Lee Spector
Lexicase selection has been shown to provide advantages over other selection algorithms in several areas of evolutionary computation and machine learning. In its standard form, lex…
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
Thomas Helmuth, Edward Pantridge, James Gunder Frazier +1
Counterexample-driven genetic programming (CDGP) uses specifications provided as formal constraints to generate the training cases used to evaluate evolving programs. It has also b…
Epsilon-Lexicase Selection for Regression
William La Cava, Lee Spector, Kourosh Danai
Lexicase selection is a parent selection method that considers test cases separately, rather than in aggregate, when performing parent selection. It performs well in discrete error…