chrono::ChOptimizerHybrid Class Reference

Description

Class for genetic optimization followed by a refinement with the method of gradient, one after the other.

Parameters must be set for the two encapsulated 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.

#include <ChSolvmin.h>

Inheritance diagram for chrono::ChOptimizerHybrid:
Collaboration diagram for chrono::ChOptimizerHybrid:

Public Member Functions

 ChOptimizerHybrid (const ChOptimizerHybrid &other)
 
virtual ChOptimizerHybridClone () const override
 "Virtual" copy constructor (covariant return type).
 
virtual void SetObjective (ChFx *mformula) override
 Sets the objective function to maximize.
 
virtual void SetObjectiveGrad (ChFx *mformula) override
 Sets the objective function gradient (not mandatory, because if not set, the default bacward differentiation is used). More...
 
void SetNumOfVars (int mv) override
 Set the number of optimization variables. More...
 
virtual bool DoOptimize () override
 This function computes the optimal xv[]. More...
 
- Public Member Functions inherited from chrono::ChOptimizer
 ChOptimizer (const ChOptimizer &other)
 
virtual ChFxGetObjective () const
 
virtual ChFxGetObjectiveGrad () const
 
virtual int GetNumOfVars () const
 Returns the number of optimization variables.
 
double * GetXv () const
 
double * GetXv_sup () const
 
double * GetXv_inf () const
 
void SetXv (double *mx)
 
void SetXv_sup (double *mx)
 
void SetXv_inf (double *mx)
 
double Eval_fx (double x[])
 Returns the value of the functional, for given state of variables and with the given "database" multibody system. More...
 
double Eval_fx (const ChMatrix<> *x)
 
void Eval_grad (double x[], double gr[])
 Computes the gradient of objective function, for given state of variables. More...
 
void Eval_grad (const ChMatrix<> *x, ChMatrix<> *gr)
 
virtual bool PreOptimize ()
 Performs the optimization of the ChSystem pointed by "database" (or whatever object which can evaluate the string "function" and the "optvarlist") using the current parameters. More...
 
virtual bool PostOptimize ()
 Finalization and cleanup.
 
virtual bool Optimize ()
 Does the three steps in sequence PreOptimize, DoOptimize, PostOptimize. More...
 
void DoBreakCheck ()
 Each break_cycles number of times this fx is called, the function break_funct() is evaluated (if any) and if positive, the variable user_break becomes true. More...
 
- Public Member Functions inherited from chrono::ChObj
 ChObj (const ChObj &other)
 
int GetIdentifier () const
 Gets the numerical identifier of the object.
 
void SetIdentifier (int id)
 Sets the numerical identifier of the object.
 
double GetChTime () const
 Gets the simulation time of this object.
 
void SetChTime (double m_time)
 Sets the simulation time of this object.
 
const char * GetName () const
 Gets the name of the object as C Ascii null-terminated string -for reading only!
 
void SetName (const char myname[])
 Sets the name of this object, as ascii string.
 
std::string GetNameString () const
 Gets the name of the object as C Ascii null-terminated string.
 
void SetNameString (const std::string &myname)
 Sets the name of this object, as std::string.
 
void MFlagsSetAllOFF (int &mflag)
 
void MFlagsSetAllON (int &mflag)
 
void MFlagSetON (int &mflag, int mask)
 
void MFlagSetOFF (int &mflag, int mask)
 
int MFlagGet (int &mflag, int mask)
 
virtual void ArchiveOUT (ChArchiveOut &marchive)
 Method to allow serialization of transient data in archives.
 
virtual void ArchiveIN (ChArchiveIn &marchive)
 Method to allow de serialization of transient data from archives.
 

Public Attributes

ChOptimizerGeneticgenetic_opt
 
ChOptimizerLocallocal_opt
 
int current_phase
 0 = null, 1 = genetic running, 2 = local running
 
bool use_genetic
 def. true;
 
bool use_local
 def. true;
 
- Public Attributes inherited from chrono::ChOptimizer
bool minimize
 default = false; just maximize
 
double grad_step
 default = 1.e-12; step size for evaluation of gradient
 
double opt_fx
 best resulting value of objective function
 
char err_message [200]
 the ok/warning/error messages are written here
 
int error_code
 
long fx_evaluations
 number of function evaluations
 
long grad_evaluations
 number of gradient evaluations
 
int(* break_funct )()
 if not null, this function is called each 'break_cycles' evaluations
 
int break_cycles
 how many fx evaluations per check
 
int user_break
 if break_funct() reported true, this flag is ON, and optimizers should exit all cycles
 
int break_cyclecounter
 internal
 

Additional Inherited Members

- Protected Attributes inherited from chrono::ChOptimizer
ChFxafunction
 the function to be maximized
 
ChFxafunctionGrad
 the gradient of the function to be maximized, or null for default BDF.
 
int C_vars
 number of input variables
 
double * xv
 Vector of variables, also 1st approximation.
 
double * xv_sup
 These are the hi/lo limits for the variables,.
 
double * xv_inf
 these are not used by all optimizer, and can be NULL for gradient, but needed for genetic.
 
- Protected Attributes inherited from chrono::ChObj
double ChTime
 the time of simulation for the object
 

Member Function Documentation

bool chrono::ChOptimizerHybrid::DoOptimize ( )
overridevirtual

This function computes the optimal xv[].

It must be implemented by derived classes

Reimplemented from chrono::ChOptimizer.

void chrono::ChOptimizerHybrid::SetNumOfVars ( int  mv)
overridevirtual

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)
overridevirtual

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

Reimplemented from chrono::ChOptimizer.