C贸digo fuente para qiskit.algorithms.optimizers.nlopts.isres

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"""Improved Stochastic Ranking Evolution Strategy optimizer."""

from .nloptimizer import NLoptOptimizer, NLoptOptimizerType

[documentos]class ISRES(NLoptOptimizer): """ Improved Stochastic Ranking Evolution Strategy optimizer. Improved Stochastic Ranking Evolution Strategy (ISRES) is an algorithm for non-linearly constrained global optimization. It has heuristics to escape local optima, even though convergence to a global optima is not guaranteed. The evolution strategy is based on a combination of a mutation rule and differential variation. The fitness ranking is simply via the objective function for problems without nonlinear constraints. When nonlinear constraints are included, the `stochastic ranking proposed by Runarsson and Yao <https://notendur.hi.is/tpr/software/sres/Tec311r.pdf>`__ is employed. This method supports arbitrary nonlinear inequality and equality constraints, in addition to the bound constraints. NLopt global optimizer, derivative-free. For further detail, please refer to http://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#isres-improved-stochastic-ranking-evolution-strategy """
[documentos] def get_nlopt_optimizer(self) -> NLoptOptimizerType: """Return NLopt optimizer type""" return NLoptOptimizerType.GN_ISRES