qiskit.optimization.algorithms.MultiStartOptimizer¶

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

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

Constructs an instance of this optimizer.

パラメータ

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.

__init__(trials=1, clip=100.0)[ソース]¶

Constructs an instance of this optimizer.

パラメータ

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

`__init__`([trials, clip])	Constructs an instance of this optimizer.
`get_compatibility_msg`(problem)	Checks whether a given problem can be solved with the optimizer implementing this method.
`is_compatible`(problem)	Checks whether a given problem can be solved with the optimizer implementing this method.
`multi_start_solve`(minimize, problem)	Applies a multi start method given a local optimizer.
`solve`(problem)	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.

property clip¶

Returns the clip value for this optimizer.

abstract get_compatibility_msg(problem)¶

Checks whether a given problem can be solved with the optimizer implementing this method.

パラメータ: problem (QuadraticProgram) – The optimization problem to check compatibility.
戻り値の型: str
戻り値: Returns the incompatibility message. If the message is empty no issues were found.

is_compatible(problem)¶

Checks whether a given problem can be solved with the optimizer implementing this method.

パラメータ: problem (QuadraticProgram) – The optimization problem to check compatibility.
戻り値の型: bool
戻り値: Returns True if the problem is compatible, False otherwise.

multi_start_solve(minimize, problem)[ソース]¶

Applies a multi start method given a local optimizer.

パラメータ

minimize (Callable[[array], Tuple[array, Any]]) – A callable object that minimizes the problem specified
problem (QuadraticProgram) – A problem to solve

戻り値の型

OptimizationResult

戻り値

The result of the multi start algorithm applied to the problem.

abstract solve(problem)¶

Tries to solves the given problem using the optimizer.

Runs the optimizer to try to solve the optimization problem.

パラメータ: problem (QuadraticProgram) – The problem to be solved.
戻り値の型: OptimizationResult
戻り値: The result of the optimizer applied to the problem.
例外: QiskitOptimizationError – If the problem is incompatible with the optimizer.

property trials¶

Returns the number of trials for this optimizer.