本文整理汇总了C++中Population::SelectionOnPhenotypes方法的典型用法代码示例。如果您正苦于以下问题：C++ Population::SelectionOnPhenotypes方法的具体用法？C++ Population::SelectionOnPhenotypes怎么用？C++ Population::SelectionOnPhenotypes使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Population的用法示例。
在下文中一共展示了Population::SelectionOnPhenotypes方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
//.........这里部分代码省略.........
{
new_within_chrom_dprime.push_back(0);
// adams_avg_dprime.push_back(0);
ld << "\tchrom_" << c << "_D" << "\tchrom_" << c << "_ldDp";
for (int cc = 0; cc < Pop.NumQTLs; cc++)
QTLs << '\t' << c << "." << cc;
}
QTLs << '\n';
ld << '\n';
parameters << NumReps << '\t' << Pop.CarryingCapacity << '\t' << Pop.MaximumFecundity << '\t' << Pop.MaximumEncounters << '\t'
<< Pop.pAdultSample << '\t' << Pop.ProgSample << '\t' << Pop.Generations << '\t' << Pop.NumSelGen << '\t' << Pop.NumMarkers << '\t'
<< Pop.NumChrom << '\t' << Pop.NumQTLs << '\t' << Pop.NumAlleles << '\t' << Pop.RecombRate << '\t' << Pop.MutationRate << '\t'
<< Pop.MutationalVariance << '\t' << Pop.EnvironmentalVariance << '\t' << Pop.sigma << '\t' << Pop.bs_replicates << '\t' << Pop.NumLD << '\n';
}
QTLs << reps;
for (int c = 0; c < Pop.NumChrom; c++)
{
for (int cc = 0; cc < Pop.NumQTLs; cc++)
QTLs << '\t' << Pop.Locations[c].LociOnChrom[cc];
}
QTLs << '\n';
for (g = 0; g < Pop.Generations; g++)
{
Pop.PopulationSize = Pop.DeterminePopSize();
Pop.Mating(ss_initial);//random mating if 0
if (Pop.popExtinct == true)
{
cout << "Extinct Generation " << g + 1 << '\n';
break;
}
Pop.Mutation();
Pop.SelectionOnPhenotypes(vs_initial);//none if 0
Pop.DensityRegulation();
Pop.PopulationSize = Pop.DeterminePopSize();
Pop.CalcMeanTraitValues();
Pop.AdultSumm();
double mean_new_longdist_d, mean_new_longdist_dprime;
mean_new_longdist_d = mean_new_longdist_dprime = 0;
Pop.AvgLD = 0;
Pop.avg_pairwise_d = 0;
Pop.avg_longdist_d = 0;
mean_dp_ldistchrom = 0;
ld_count = 0;
while (ld_count < Pop.NumLD)
{
returned_data = Pop.AdultPopLD(randnum(Pop.NumChrom), randnum(Pop.NumChrom), randnum(Pop.NumMarkers), randnum(Pop.NumMarkers));
if (returned_data.dprime != -5)
{
mean_new_longdist_d = mean_new_longdist_d + returned_data.d;
mean_new_longdist_dprime = mean_new_longdist_dprime + returned_data.dprime;
ld_count++;
}
}
mean_new_longdist_d = mean_new_longdist_d / Pop.NumLD;
mean_new_longdist_dprime = mean_new_longdist_dprime / Pop.NumLD;
for (int c = 0; c < Pop.NumChrom; c++)
{
for (int cc = 0; cc < Pop.NumMarkers - 1; cc++)
{//Pairwise
returned_data = Pop.AdultPopLD(c, c, cc, cc + 1);
Pop.avg_pairwise_d = Pop.avg_pairwise_d + returned_data.d;
Pop.AvgLD = Pop.AvgLD + returned_data.dprime;
}
//adams_avg_dprime[c] = 0;