RBFOpt
A black-box optimization tool based on radial basis function surrogate models, used for automatic configuration and tuning of expensive objective functions.
Timeline (last 90 days)
RBFOpt (Radial Basis Function Optimization) is a black-box optimization method that uses radial basis function interpolation to build a surrogate model and combines it with a global optimization strategy.
On 215 instances from five benchmark sets, compared with the best performance among SMAC3, RBFOpt and random search, LDST reduced the geometric mean loss by 43.9% on easy instances and 16.7% on medium instances.
All Facts (2)
RBFOpt (Radial Basis Function Optimization) is a black-box optimization method that uses radial basis function interpolation to build a surrogate model and combines it with a global optimization strategy.
50%UnverifiedOn 215 instances from five benchmark sets, compared with the best performance among SMAC3, RBFOpt and random search, LDST reduced the geometric mean loss by 43.9% on easy instances and 16.7% on medium instances.
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