FEBio/FEBioOpt/FEPowellOptimizeMethod.cpp at develop · febiosoftware/FEBio · GitHub

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/*This file is part of the FEBio source code and is licensed under the MIT license

listed below.

See Copyright-FEBio.txt for details.

the City of New York, and others.

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.*/

#include "stdafx.h"

#include "FEPowellOptimizeMethod.h"

#include "FEOptimizeData.h"

#include <FECore/FEAnalysis.h>

#include <FECore/log.h>

#include <FECore/tools.h>

FEPowellOptimizeMethod* FEPowellOptimizeMethod::m_pThis = 0;

FEPowellOptimizeMethod::FEPowellOptimizeMethod(FEModel* fem) : FEOptimizeMethod(fem)

{

}

bool FEPowellOptimizeMethod::Solve(FEOptimizeData *pOpt, vector<double>& amin, vector<double>& ymin, double* minObj)

{

m_pOpt = pOpt;

FEOptimizeData& opt = *pOpt;

int nvar = opt.InputParameters();

// set the initial guess

vector<double> p(nvar);

for (int i=0; i<nvar; ++i) p[i] = opt.GetInputParameter(i)->GetValue();

// set the initial search directions

vector<double> xi(nvar*nvar);

for (int i=0; i<nvar; ++i)

{

for (int j=0; j<nvar; ++j) xi[i*nvar + j] = 0;

xi[i*nvar + i] = 0.05*(1.0 + p[i]);

}

// don't forget to set this

m_pThis = this;

// call the powell routine

int niter = 0;

double fret = 0;

powell(&p[0], &xi[0], nvar, 0.001, &niter, &fret, objfun);

// store optimal values

amin = p;

if (minObj) *minObj = fret;

return true;

}

//------------------------------------------------------------------

double FEPowellOptimizeMethod::ObjFun(double *p)

{

// get the optimization data

FEOptimizeData& opt = *m_pOpt;

FEModel* fem = opt.GetFEModel();

// set the input parameters

int nvar = opt.InputParameters();

vector<double> a(nvar);

for (int i=0; i<nvar; ++i) a[i] = p[i];

// solve the FE problem with the new parameters

if (opt.FESolve(a) == false)

{

feLogEx(fem, "\n\n\nAAAAAAAAARRRRRRRRRGGGGGGGGHHHHHHHHHHH !!!!!!!!!!!!!\n\n\n\n");

return 0;

}

else

{

// evaluate objective function

FEObjectiveFunction& obj = opt.GetObjective();

double fobj = obj.Evaluate();

return fobj;

}

FEBio/FEBioOpt/FEPowellOptimizeMethod.cpp at develop · febiosoftware/FEBio · GitHub

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