spotAlgEsStratMutation

Strategy parameter (sigma), can be a vector or a single number

strat

the global/general step size multiplier for self adaption

tau0

the step size multiplier for self adaption in each dimension

sigma values are reset to initial values when a uniformly distributed random number is smaller than sigmaRestart

sigmaRestart

sigmaInit

Mutation function for the ES strategy parameter sigma.

internal

A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment
approaches. The main interface is spot, which uses sequentially updated
surrogate models for the purpose of efficient optimization. The main goal is
to ease the burden of objective function evaluations, when a single evaluation
requires a significant amount of resources.

spotAlgEsStratMutation: spotAlgEsStratMutation

Description

Usage

Arguments

Value