Class GaussianSimulatedReAnnealing

constructor

• new GaussianSimulatedReAnnealing(Sampler: any, Probability: any, Temperature: any, Reannealing?: any, startTemperature?: Real, endTemperature?: Real, reAnnealSteps?: Size, resetScheme?: ResetScheme, resetSteps?: Size, localOptimizer?: OptimizationMethod, optimizeScheme?: LocalOptimizeScheme): GaussianSimulatedReAnnealing

• Parameters

  • Sampler: any

  • Probability: any

  • Temperature: any

  • Default value Reannealing: any = new ReannealingTrivial()

  • Default value startTemperature: Real = 200

  • Default value endTemperature: Real = 0.01

  • Default value reAnnealSteps: Size = 50

  • Default value resetScheme: ResetScheme = HybridSimulatedAnnealing.ResetScheme.ResetToBestPoint

  • Default value resetSteps: Size = 150

  • Default value localOptimizer: OptimizationMethod = new OptimizationMethod()

  • Default value optimizeScheme: LocalOptimizeScheme = HybridSimulatedAnnealing.LocalOptimizeScheme.EveryBestPoint

  Returns GaussianSimulatedReAnnealing