CNN regressor on contour plots of probed landscapes enables per-instance algorithm selection that outperforms the single best solver and competes with feature-based baselines on BBOB benchmarks.
Auto- mated algorithm selection in single-objective continuous optimization: a comparative study of deep learning and landscape analysis methods
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Beyond Numerical Features: CNN-Driven Algorithm Selection via Contour Plots for Continuous Black-Box Optimization
CNN regressor on contour plots of probed landscapes enables per-instance algorithm selection that outperforms the single best solver and competes with feature-based baselines on BBOB benchmarks.