void HybridComp::SetUpFRH001_Com_CEC05()
{
string fname[m_numFuncs];
unsigned fid[m_numFuncs];
for(int i=0;i<m_numFuncs;i++){
mp_height[i]=100*i;
}
fname[0]="FUN_Expanded_Scaffer_F6_CEC05"; fname[1]="FUN_Expanded_Scaffer_F6_CEC05";
fname[2]="FUN_Rastrigin"; fname[3]="FUN_Rastrigin";
fname[4]="FUN_Griewank_Rosenbrock_F13_CEC05"; fname[5]="FUN_Griewank_Rosenbrock_F13_CEC05";
fname[6]="FUN_Weierstrass"; fname[7]="FUN_Weierstrass";
fname[8]="FUN_Griewank"; fname[9]="FUN_Griewank";
mp_stretchSeverity[0]=5.*5./100;
mp_convergeSeverity[0]=1.;
for(int i=0;i<m_numFuncs;i++) fid[i]=Global::msm_pro[fname[i]];
setFunction(fid,fname);
mpp_f[0]->setSearchRange(-100,100); mpp_f[1]->setSearchRange(-100,100);
mpp_f[2]->setSearchRange(-5,5); mpp_f[3]->setSearchRange(-5,5);
mpp_f[4]->setSearchRange(-5,5); mpp_f[5]->setSearchRange(-5,5);
mpp_f[6]->setSearchRange(-0.5,0.5); mpp_f[7]->setSearchRange(-0.5,0.5);
mpp_f[8]->setSearchRange(-200,200); mpp_f[9]->setSearchRange(-200,200);
mp_stretchSeverity[1]=5./100;
mp_stretchSeverity[2]=5.; mp_stretchSeverity[3]=1.;
mp_stretchSeverity[4]=5; mp_stretchSeverity[5]=1;
mp_stretchSeverity[6]=50.; mp_stretchSeverity[7]=10.;
mp_stretchSeverity[8]=5.*5/200; mp_stretchSeverity[9]=5./200;
mp_convergeSeverity[1]=1.;
mp_convergeSeverity[2]=1.; mp_convergeSeverity[3]=1.;
mp_convergeSeverity[4]=1.; mp_convergeSeverity[5]=2.;
mp_convergeSeverity[6]=2; mp_convergeSeverity[7]=2;
mp_convergeSeverity[8]=2.; mp_convergeSeverity[9]=2.;
for(int i=0;i<m_numFuncs;i++){
mpp_f[i]->setScale(mp_stretchSeverity[i]);
}
setBias(360);
}
void HybridComp::SetUpFCom_CEC05(){
string fname[m_numFuncs];
unsigned fid[m_numFuncs];
for(int i=0;i<m_numFuncs;i++){
mp_height[i]=100*i;
mp_convergeSeverity[i]=1.;
}
fname[0]="FUN_Rastrigin"; fname[1]="FUN_Rastrigin";
fname[2]="FUN_Weierstrass"; fname[3]="FUN_Weierstrass";
fname[4]="FUN_Griewank"; fname[5]="FUN_Griewank";
fname[6]="FUN_Ackley"; fname[7]="FUN_Ackley";
fname[8]="FUN_Sphere"; fname[9]="FUN_Sphere";
for(int i=0;i<m_numFuncs;i++) {
fid[i]=Global::msm_pro[fname[i]];
}
setFunction(fid,fname);
mpp_f[0]->setSearchRange(-5,5); mpp_f[1]->setSearchRange(-5,5);
mpp_f[2]->setSearchRange(-0.5,0.5); mpp_f[3]->setSearchRange(-0.5,0.5);
mpp_f[4]->setSearchRange(-60,60); mpp_f[5]->setSearchRange(-60,60);
mpp_f[6]->setSearchRange(-32,32); mpp_f[7]->setSearchRange(-32,32);
mpp_f[8]->setSearchRange(-100,100); mpp_f[9]->setSearchRange(-100,100);
mp_stretchSeverity[0]=1.; mp_stretchSeverity[1]=1.;
mp_stretchSeverity[2]=10.; mp_stretchSeverity[3]=10.;
mp_stretchSeverity[4]=5./60; mp_stretchSeverity[5]=5./60;
mp_stretchSeverity[6]=5./32; mp_stretchSeverity[7]=5./32;
mp_stretchSeverity[8]=5./100; mp_stretchSeverity[9]=5./100;
for(int i=0;i<m_numFuncs;i++){
mpp_f[i]->setScale(mp_stretchSeverity[i]);
}
setBias(120.);
}
void FSchwefel_1_2::initialize(){
setOriginalGlobalOpt();
if(IS_PROBLEM_NAME(m_id,"FUN_Schwefel_1_2")||IS_PROBLEM_NAME(m_id,"FUN_Schwefel_1_2_Noisy")){
}else if(IS_PROBLEM_NAME(m_id,"FUN_S_Schwefel_1_2")||IS_PROBLEM_NAME(m_id,"FUN_S_Schwefel_1_2_Noisy")){
loadTranslation();
}else if(IS_PROBLEM_NAME(m_id,"FUN_R_Schwefel_1_2")){
setConditionNumber(2);
loadRotation();
}else if(IS_PROBLEM_NAME(m_id,"FUN_RS_Schwefel_1_2")){
setConditionNumber(2);
loadTranslation();
loadRotation();
}else if(IS_PROBLEM_NAME(m_id,"FUN_S_Schwefel_1_2_CEC05")||IS_PROBLEM_NAME(m_id,"FUN_S_Schwefel_1_2_Noisy_CEC05")){
setBias(-450);
loadTranslation();
}else{
throw myException("Error: please check the problem ID@FSchwefel_1_2::initialize");
}
setGlobalOpt();
setAccuracy(1.0e-2);
}
neuron::neuron(const vector<float>& WeightVector, const float& BiasNumber) //constructor 1
{
setWeights(WeightVector); //gives provided parameters to the class
setNumberOfInputs(Weights.size());
setBias(BiasNumber);
}
void CTRNN::randomizeBiases(double lb, double ub)
{
for (int i = 0; i < size; i++)
setBias(i, UniformRandom(lb, ub));
}
//----------------------------------------------------------------------------------------------------------------------
void CTRNN::setInputNeuron(int i)
{
setUpdateFunction(i, kUF_Input);
setActivationFunction(i, kAF_Identity);
setBias(i, 0.0);
}