SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Iterated Racing for Automatic Algorithm Configuration
A scikit-learn compatible implementation of hyperband
A benchmark library for Dynamic Algorithm Configuration.
Algorithm Configuration Visualizations for irace!
Sparkle is a Programming by Optimisation (PbO)-based problem-solving platform designed to enable the widespread and effective use of PbO techniques for improving the state-of-the-art in solving a broad range of prominent AI problems, including SAT and AI Planning.
crace: Continuous Racing for Automatic Algorithm Configuration
Mosaic: MCTS-based Pipeline Optimization
Multi-parameter Control for the Genetic Algorithm on OneMax
Log-driven LLM tuning of SCIP for mixed-integer optimization, with solver-log analysis, scalar-feedback baselines, and a reproducible 215-instance benchmark.
AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation
AutoML via model selection with MCTS and model configuration with optimizer ensembles.
Integration of algorithm configuration in the Unified Planning Framework
Ensemble-based Automated Algorithm Configuration
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