chrono::ChOptimizerHybrid Class Reference

#include <CHsolvmin.h>

Inheritance diagram for chrono::ChOptimizerHybrid:

Collaboration diagram for chrono::ChOptimizerHybrid:

List of all members.

Public Member Functions
	ChOptimizerHybrid ()
virtual void	Copy (ChOptimizerHybrid *source)
virtual void	SetObjective (ChFx *mformula)
virtual void	SetObjectiveGrad (ChFx *mformula)
void	SetNumOfVars (int mv)
virtual int	DoOptimize ()
Public Attributes
ChOptimizerGenetic *	genetic_opt
ChOptimizerLocal *	local_opt
int	current_phase
bool	use_genetic
bool	use_local

---

Detailed Description

Inherited class for genetic optimization followed by a refinement with the method of gradient, one after the other. Parameters must be set for the two incapsulated optimizers genetic_opt and gradient_opt, that is for example: my_hybrid->genetic_opt->maxgenerations = 200; etc... However, the optimization variables, the system and the objective function must be added to the hybrid optimizer itself, which in turn will automatically set them for the genetic_opt and gradient_opt.

---

Constructor & Destructor Documentation

chrono::ChOptimizerHybrid::ChOptimizerHybrid

(

)

Ch_hybrid_optimizer Hybrid (genetic+local) optimization engine

---

Member Function Documentation

void chrono::ChOptimizerHybrid::SetNumOfVars

(

int

mv

)

[virtual]

Set the number of optimization variables. Note: this must be set properly as the number of variables used in the objective function!

Reimplemented from chrono::ChOptimizer.

void chrono::ChOptimizerHybrid::SetObjectiveGrad

(

ChFx *

mformula

)

[virtual]

Sets the objective function gradient (not mandatory, because if not set, the default bacward differentiation is used).

Reimplemented from chrono::ChOptimizer.