pycma

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zfifteen / lr-adapt-proxy

SNR-driven adaptive step-size control for CMA-ES under noisy black-box optimization. A transparent proxy layer that adjusts sigma using signal-to-noise ratio estimates, with full experimental infrastructure and sensitivity analysis.

python benchmarking reproducible-research sensitivity-analysis black-box-optimization optimization-algorithms evolution-strategies cma-es noise-robust signal-to-noise-ratio noisy-optimization step-size-adaptation sigma-adaptation pycma ema-smoothing mad-estimator

Updated Mar 5, 2026
Python

aabbtree77 / dfo

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Testing CMA_ESes and DEs on BBOB2009, CEC2017, and CEC2022.

cmaes derivative-free-optimization cec2017 cec2022 pycma bbob2009 arrde bipop-acmaes minionpy

Updated Aug 21, 2026
Python

aabbtree77 / discombobulated

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BIPOP-aCMAES or ARRDE?!

benchmark minion differential-evolution blowup evolutionary-strategy covariance-matrix bfgs cmaes derivative-free multimodal ill-conditioned cec2017 pycma dual-annealing bbob2009 konvergenzbeschleunigung konvergenzgeschwindigkeit arrde

Updated Aug 29, 2026
Python

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