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