Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
machine-learning optimization constrained-optimization hyperparameter-optimization meta-heuristic simulated-annealing hill-climbing bayesian-optimization nelder-mead random-search particle-swarm-optimization evolution-strategies blackbox-optimization gradient-free-optimization tree-of-parzen-estimator hyperactive
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Updated
Jan 23, 2025 - Python