5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.NE2022★ 5 cited
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss +2
Genetic improvement is a search technique that aims to improve a given acceptable solution to a problem. In this paper, we present the novel use of genetic improvement to find prob…
cs.NE2022
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss +3
In this paper we introduce Shackleton as a generalized framework enabling the application of linear genetic programming -- a technique under the umbrella of evolutionary algorithms…
cs.NE2019
2019 Evolutionary Algorithms Review
Andrew N. Sloss, Steven Gustafson
Evolutionary algorithm research and applications began over 50 years ago. Like other artificial intelligence techniques, evolutionary algorithms will likely see increased use and d…