public OptimizerOutput(double[] FVr_bestmem_, OutputFunction S_bestval_, int I_nfeval_)
{
FVr_bestmem = new double[FVr_bestmem_.Length];
DifferentialEvolution.Copy1DArrayL2R(FVr_bestmem_, ref FVr_bestmem);
S_bestval = new OutputFunction(0, 1);
DifferentialEvolution.Copy_outfunL2R(S_bestval_, ref S_bestval);
I_nfeval = I_nfeval_;
}
private void button1_Click(object sender, EventArgs e)
{
//S_Infun1 = new InputStructure();
//S_Infun1.valueToReach = -100000; // Lower bound on the objective function
//S_Infun1.numberOfParameterObjectiveFunction = 2; // number of parameters to optimize
//S_Infun1.vectorLowerBound = new double[S_Infun1.numberOfParameterObjectiveFunction]; // lower limit
//S_Infun1.vectorUpperbound = new double[S_Infun1.numberOfParameterObjectiveFunction];
//for (int i = 0; i < S_Infun1.numberOfParameterObjectiveFunction; i++)
//{
// S_Infun1.vectorLowerBound[i] = -100;
// S_Infun1.vectorUpperbound[i] = 100;
//}
//S_Infun1.useBoundConstraint = true; // bound by lower and upper limits
//S_Infun1.numberOfPopulation = PopulationSize;
//S_Infun1.maxIteration = NumberOfIterations;
//S_Infun1.weight = 0.85;
//S_Infun1.crossOverProbability = 1;
//S_Infun1.strategy = Strategy;
//S_Infun1.intermediateOutput = 1;
//S_Infun1.vectorBest = new double[S_Infun1.numberOfParameterObjectiveFunction];
//S_Infun1.population = new double[S_Infun1.numberOfParameterObjectiveFunction, S_Infun1.numberOfParameterObjectiveFunction];
//OptimizerOutput Output = new OptimizerOutput();
//DifferentialEvolution DE_optimizer = new DifferentialEvolution(new
// DifferentialEvolution.FunctionPointer(ObjectiveFunction));
//Output = DE_optimizer.Optimizer(S_Infun1);
//bestParam = Output.FVr_bestmem;
//label10.Text = bestParam[0].ToString("0.000");
//label11.Text = bestParam[1].ToString("0.000");
//label13.Text = (-Output.S_bestval.FVr_oa[0]).ToString("0.000");
//MessageBox.Show("Optimization Done");// Configuring Differential evolution optimizer
S_Infun1 = new InputStructure();
S_Infun1.F_VTR = -100000; // Lower bound on the objective function
S_Infun1.I_D = NumberOfParameters; // number of parameters to optimize
S_Infun1.FVr_minbound = new double[S_Infun1.I_D]; // lower limit
S_Infun1.FVr_maxbound = new double[S_Infun1.I_D];
for (int i = 0; i < S_Infun1.I_D; i++)
{
S_Infun1.FVr_minbound[i] = -100;
S_Infun1.FVr_maxbound[i] = 100;
}
S_Infun1.I_bnd_constr = true; // bound by lower and upper limits
S_Infun1.I_NP = PopulationSize;
S_Infun1.I_itermax = NumberOfIterations;
S_Infun1.F_weight = 0.85;
S_Infun1.F_CR = 1;
S_Infun1.I_strategy = Strategy;
S_Infun1.I_refresh = 1;
S_Infun1.FVr_bestmem = new double[S_Infun1.I_D];
S_Infun1.FM_pop = new double[S_Infun1.I_NP, S_Infun1.I_D];
OptimizerOutput Output = new OptimizerOutput();
DifferentialEvolution DE_optimizer = new DifferentialEvolution(new
DifferentialEvolution.FunctionPointer(ObjectiveFunction));
Output = DE_optimizer.Optimizer(S_Infun1);
bestParam = Output.FVr_bestmem;
MessageBox.Show(bestParam[0].ToString("0.000") + " " + bestParam[1].ToString("0.000"));
MessageBox.Show((-Output.S_bestval.FVr_oa[0]).ToString("0.000"));
//label10.Text = bestParam[0].ToString("0.000");
//label11.Text = bestParam[1].ToString("0.000");
//label13.Text = (-Output.S_bestval.FVr_oa[0]).ToString("0.000");
MessageBox.Show("Optimization Done");
}
