Search Results for author:
Found 4 papers, 1 papers with code
Lost in Algorithms
Algorithms are becoming more capable, and with that comes hic sunt dracones (here be dragons).
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences.
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
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 -- to a variety of use cases.
2019 Evolutionary Algorithms Review
Evolutionary algorithm research and applications began over 50 years ago.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
