Testing CMA_ESes and DEs on BBOB2009, CEC2017, and CEC2022.
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Updated
Aug 6, 2026 - Python
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pycma
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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
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Mar 5, 2026 - Python
BIPOP-aCMAES or ARRDE?!
benchmark minion blowup evolutionary-strategy bfgs cmaes derivative-free multimodal ill-conditioned cec2017 scipy-optimize pycma dual-annealing bbob2009 konvergenzbeschleunigung konvergenzgeschwindigkeit arrde rdex-sop
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Aug 19, 2026 - Python
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