本文整理汇总了C++中decision_vector::at方法的典型用法代码示例。如果您正苦于以下问题：C++ decision_vector::at方法的具体用法？C++ decision_vector::at怎么用？C++ decision_vector::at使用的例子？那么恭喜您, 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decision_vector的用法示例。
在下文中一共展示了decision_vector::at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: compute_distance
double antibodies_problem::compute_distance(const decision_vector &x) const {
double distance = 0.;
// hamming distance
switch(m_method) {
case(algorithm::cstrs_immune_system::HAMMING): {
const decision_vector &lb = get_lb();
const decision_vector &ub = get_ub();
for(decision_vector::size_type i=0; i<x.size(); i++) {
std::vector<int> current_binary_gene = double_to_binary(x.at(i), lb.at(i), ub.at(i));
for(decision_vector::size_type j=0; j<m_pop_antigens.size(); j++) {
std::vector<int> antigens_binary_gene = double_to_binary((m_pop_antigens.at(j)).at(i), lb.at(i), ub.at(i));
for(std::vector<int>::size_type k=0; k<antigens_binary_gene.size(); k++) {
distance += antigens_binary_gene.at(k) && current_binary_gene.at(k);
}
}
}
// we take the inverse of the distance as the measure we need is
// how close the x is from the antigen population
// which means that we need to maximize the ressemblance
distance = - distance;
break;
}
case(algorithm::cstrs_immune_system::EUCLIDEAN): {
for(decision_vector::size_type j=0; j<m_pop_antigens.size(); j++) {
double euclid = 0.;
const decision_vector &antigen_decision = m_pop_antigens.at(j);
for(decision_vector::size_type i=0; i<x.size(); i++) {
euclid += std::pow(x.at(i) - antigen_decision.at(i),2);
}
distance += std::sqrt(euclid);
}
break;
}
}
return distance;
}