Auto
data class AutoCalibrate(val targetProbability: Double = 0.8, val sampleSize: Int = 100) : TemperatureConfiguration(source)
Instructs the solver to autonomously estimate a sensible initial temperature by executing a random walk during its initialization phase.
Parameters
target
The desired initial probability of accepting a worse solution (e.g., 0.8).
sample
The number of random walk steps to take to estimate the cost landscape.