MultiStartOptimizer¶

class MultiStartOptimizer(trials=1, clip=100.0)[source]¶

Bases: qiskit.optimization.algorithms.optimization_algorithm.OptimizationAlgorithm, abc.ABC

An abstract class that implements multi start optimization and should be sub-classed by other optimizers.

Constructs an instance of this optimizer.

Parameters

trials (int) – The number of trials for multi-start method. The first trial is solved with the initial guess of zero. If more than one trial is specified then initial guesses are uniformly drawn from [lowerbound, upperbound] with potential clipping.
clip (float) – Clipping parameter for the initial guesses in the multi-start method. If a variable is unbounded then the lower bound and/or upper bound are replaced with the -clip or clip values correspondingly for the initial guesses.

Methods

`get_compatibility_msg`	Checks whether a given problem can be solved with the optimizer implementing this method.
`is_compatible`	Checks whether a given problem can be solved with the optimizer implementing this method.
`multi_start_solve`	Applies a multi start method given a local optimizer.
`solve`	Tries to solves the given problem using the optimizer.

Attributes

clip¶

Returns the clip value for this optimizer.

trials¶

Returns the number of trials for this optimizer.