closed_loop_optimization_step

Classes

`BoxConstraint`	A box constraint with which you can define the inclusive lower and upper bounds for tunable parameters of your system.
`CmaesInitializer`	Configuration for the covariance matrix adaptation evolution strategy (CMA-ES) based optimizer.
`CostFunctionResult`	Result from evaluating the user-defined cost function.
`CrossEntropyInitializer`	Configuration for the cross-entropy optimizer.
`GaussianProcessInitializer`	Configuration for the Gaussian process based optimizer.
`NeuralNetworkInitializer`	Configuration for the neural network based optimizer.
`Optimizer`	The optimizer to use in the optimization.
`Result`	Result from the optimizer.
`SimulatedAnnealingInitializer`	Configuration for the simulated annealing based optimizer.
`TestPoint`	Test point returned from the optimizer.