Optimization algorithms (qiskit.optimization.algorithms)

Algorithms for optimization problems.

Base classes for algorithms and results

OptimizationAlgorithm	An abstract class for optimization algorithms in Qiskit’s optimization module.
MultiStartOptimizer	An abstract class that implements multi start optimization and should be sub-classed by other optimizers.
OptimizationResult	A base class for optimization results.

Algorithms and results

ADMMOptimizationResult	ADMMOptimization Result.
ADMMOptimizer	An implementation of the ADMM-based heuristic.
ADMMParameters	Defines a set of parameters for ADMM optimizer.
ADMMState	Internal computation state of the ADMM implementation.
CobylaOptimizer	The SciPy COBYLA optimizer wrapped as an Qiskit OptimizationAlgorithm.
CplexOptimizer	The CPLEX optimizer wrapped as an Qiskit OptimizationAlgorithm.
GroverOptimizationResult	A result object for Grover Optimization methods.
GroverOptimizer	Uses Grover Adaptive Search (GAS) to find the minimum of a QUBO function.
MinimumEigenOptimizationResult	Minimum Eigen Optimizer Result.
MinimumEigenOptimizer	A wrapper for minimum eigen solvers from Qiskit Aqua.
OptimizationResultStatus	Termination status of an optimization algorithm.
RecursiveMinimumEigenOptimizationResult	Recursive Eigen Optimizer Result.
RecursiveMinimumEigenOptimizer	A meta-algorithm that applies a recursive optimization.
IntermediateResult	Defines whether the intermediate results of RecursiveMinimumEigenOptimizer at each iteration should be stored and returned to the end user.
SlsqpOptimizationResult	SLSQP optimization result, defines additional properties that may be returned by the optimizer.
SlsqpOptimizer	The SciPy SLSQP optimizer wrapped as an Qiskit OptimizationAlgorithm.