EmbeddedHybridStrategy Class Reference

Strategy for closely-coupled hybrid minimization, typically involving the embedding of local search methods within global search methods. More...

Inheritance diagram for EmbeddedHybridStrategy:

List of all members.

Public Member Functions
	EmbeddedHybridStrategy (ProblemDescDB &problem_db)
	constructor
	~EmbeddedHybridStrategy ()
	destructor
Protected Member Functions
void	run_strategy ()
	Performs the hybrid minimization strategy by executing multiple iterators on different models of varying fidelity.
const Variables &	variables_results () const
	return the final solution from selectedIterators (variables)
const Response &	response_results () const
	return the final solution from selectedIterators (response)
Private Attributes
Real	localSearchProb
	the probability of running a local search refinement within phases of the global minimization for coupled hybrids

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Detailed Description

Strategy for closely-coupled hybrid minimization, typically involving the embedding of local search methods within global search methods.

This strategy uses multiple methods in close coordination, generally using a local search minimizer repeatedly within a global minimizer (the local search minimizer refines candidate minima which are fed back to the global minimizer).

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The documentation for this class was generated from the following files:

• EmbeddedHybridStrategy.H
• EmbeddedHybridStrategy.C