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Expanded optimization hints and LLM context in affine_transform_2d/config.yaml, increased max_tokens and program counts, and switched to the Gemini model. Updated evaluator.py to use EvaluationResult for artifact support and improved error reporting. Added optimization notes to initial_program.py. Removed obsolete benchmark results JSON.
Updated LLM model weights to include 'google/gemini-2.5-pro' with adjusted weights across all tasks. Reduced verbosity and streamlined optimization hints in config prompts for clarity. Adjusted parallel_evaluations to 4 for most tasks (except polynomial_real, set to 1 to avoid JAX conflicts) and increased evaluator timeout for polynomial_real. Updated initial_program.py files to clarify and reorganize optimization opportunities.
Deleted detailed experiment reports for GEMINI_FLASH_2.5 and O4_MINI from the examples/algotune directory. Replaced the README with a comprehensive optimization report summarizing the OpenEvolve AlgoTune benchmark journey, key discoveries, configuration strategies, and best practices for evolutionary code optimization.
Added best_program.py and best_program_info.json files for the following tasks: affine_transform_2d, convolve2d_full_fill, eigenvectors_complex, fft_cmplx_scipy_fftpack, fft_convolution, lu_factorization, polynomial_real, and psd_cone_projection. These files contain the initial evolved implementations and associated metadata for each task.
@codelion codelion merged commit 5eb3dba into main Aug 24, 2025
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@codelion codelion deleted the Update-algotune-example branch August 24, 2025 09:49
wangcheng0825 pushed a commit to wangcheng0825/openevolve that referenced this pull request Sep 15, 2025
…ate-algotune-example

Update algotune example
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