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.
Using well- understood single-objective functions in multiobjective black-box op- timization test suites
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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.
- Randomness as Reference: Benchmark Metric for Optimization in Engineering