estimate
fun estimateInitialTemperature(problemDefinition: ProblemDefinition, evaluator: EvaluatorIfc, targetAcceptanceProbability: Double = 0.8, sampleSize: Int = 100, replicationsPerEvaluation: ReplicationPerEvaluationIfc = FixedReplicationsPerEvaluation(1)): Double(source)
Estimates a sensible initial temperature by executing an unbiased random walk over the objective function landscape and measuring the average cost increase.
Return
A dynamically calculated initial temperature.
Parameters
problem
The problem being solved.
evaluator
The evaluator responsible for assessing solutions.
target
The desired initial probability of accepting a worse solution (e.g., 0.8).
sample
The number of random walk steps to take.
replications
Strategy for replications (typically 1 is fine for a rough temperature estimate).