AlphaEvolve BenchmarksΒΆ

BLADE includes benchmark instances inspired by the Google DeepMind AlphaEvolve paper. These instances are available in two complementary forms:

  • run_benchmarks/ provides standalone reference scripts for running each task directly.

  • iohblade/benchmarks packages the same tasks for programmatic use in experiments and pipelines.

The packaged benchmarks are grouped by domain:

  • Analysis (auto-correlation inequalities)

  • Combinatorics (Erdos min-overlap)

  • Geometry (Heilbronn problems, kissing number, and distance ratios)

  • Matrix multiplication

  • Number theory (sums vs differences)

  • Packing (rectangle, hexagon, and unit square packing)

  • Fourier (uncertainty inequalities)

Each domain folder contains a README with task-specific details and citations to the original sources.