hybrid

Strategy in which a set of methods synergistically seek an optimal design

Specification

  • Alias: None

  • Arguments: None

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required (Choose One)

Hybrid Method Type

sequential

Methods are run one at a time, in sequence

embedded

A subordinate local method provides periodic refinements to a top-level global method

collaborative

Multiple methods run concurrently and share information

Description

In a hybrid minimization method ( hybrid), a set of methods synergistically seek an optimal design. The relationships among the methods are categorized as:

  • collaborative

  • embedded

  • sequential

The goal in each case is to exploit the strengths of different optimization and nonlinear least squares algorithms at different stages of the minimization process. Global + local hybrids (e.g., genetic algorithms combined with nonlinear programming) are a common example in which the desire for identification of a global optimum is balanced with the need for efficient navigation to a local optimum.