ego

Use the Efficient Global Optimization method

Specification

  • Alias: None

  • Arguments: None

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Optional

gaussian_process

Gaussian Process surrogate model

Optional

use_derivatives

Use derivative data to construct surrogate models

Optional

import_build_points_file

File containing points you wish to use to build a surrogate

Optional

export_approx_points_file

Output file for surrogate model value evaluations

Description

In the case of ego, the efficient global optimization (EGO) method is used to calculate bounds. By default, the Surfpack GP (Kriging) model is used, but the Dakota implementation may be selected instead. If use_derivatives is specified the GP model will be built using available derivative data (Surfpack GP only).

See efficient_global for more information.