`scipy.optimize._dual_annealing:VisitingDistribution`

source: /scipy/optimize/_dual_annealing.py :20

Signature

class VisitingDistribution ( lb , ub , visiting_param , rng_gen )

Members

Summary

Class used to generate new coordinates based on the distorted Cauchy-Lorentz distribution. Depending on the steps within the strategy chain, the class implements the strategy for generating new location changes.

Parameters

lb : array_like: A 1-D NumPy ndarray containing lower bounds of the generated components. Neither NaN or inf are allowed.
ub : array_like: A 1-D NumPy ndarray containing upper bounds for the generated components. Neither NaN or inf are allowed.
visiting_param : float: Parameter for visiting distribution. Default value is 2.62. Higher values give the visiting distribution a heavier tail, this makes the algorithm jump to a more distant region. The value range is (1, 3]. Its value is fixed for the life of the object.
rng_gen : {`~numpy.random.Generator`}: A Generator object for generating new locations. (can be a RandomState object until SPEC007 transition is fully complete).

Aliases

scipy.optimize._dual_annealing.VisitingDistribution