/**
* Updates the solution infeasibility vector with the population given.
* @param[in] constraint_vector c.
* @param[out] solution infeasibility.
*/
double cstrs_self_adaptive::compute_solution_infeasibility(const constraint_vector &c) const
{
// get the constraints dimension
problem::base::c_size_type prob_c_dimension = m_original_problem->get_c_dimension();
problem::base::c_size_type number_of_eq_constraints =
m_original_problem->get_c_dimension() -
m_original_problem->get_ic_dimension();
double solution_infeasibility = 0.;
const std::vector<double> &c_tol = m_original_problem->get_c_tol();
// computes solution infeasibility with the right definition of the constraints (can be in base problem? currently used
// by con2mo as well)
for(problem::base::c_size_type j=0; j<number_of_eq_constraints; j++) {
// test needed otherwise the c_scaling can be 0, and division by 0 occurs
if(m_c_scaling[j] > 0.) {
solution_infeasibility += std::max(0.,(std::abs(c.at(j)) - c_tol.at(j))) / m_c_scaling[j];
}
}
for(problem::base::c_size_type j=number_of_eq_constraints; j<prob_c_dimension; j++) {
if(m_c_scaling[j] > 0.) {
solution_infeasibility += std::max(0.,c.at(j) - c_tol.at(j)) / m_c_scaling[j];
}
}
solution_infeasibility /= prob_c_dimension;
return solution_infeasibility;
}
/// Implementation of the constraints computation.
/// Add noises to the computed constraint vector.
void noisy::compute_constraints_impl(constraint_vector &c, const decision_vector &x) const
{
//1 - Initialize a temporary constraint vector storing one trial result
//and we use it also to init the return value
constraint_vector tmp(c.size(),0.0);
c=tmp;
//2 - We set the seed
m_drng.seed(m_seed+m_decision_vector_hash(x));
//3 - We average upon multiple runs
for (unsigned int j=0; j< m_trials; ++j) {
m_original_problem->compute_constraints(tmp, x);
inject_noise_c(tmp);
for (constraint_vector::size_type i=0; i<c.size();++i) {
c[i] = c[i] + tmp[i] / (double)m_trials;
}
}
}
/// Implementation of the constraint function.
void gtoc5_rendezvous::compute_constraints_impl(constraint_vector &c, const decision_vector &x) const
{
using namespace kep_toolbox;
// We set the leg.
const epoch epoch_i(x[0],epoch::MJD), epoch_f(x[1] + x[0],epoch::MJD);
array3D v0, r0, vf, rf;
m_source.eph(epoch_i,r0,v0);
m_target.eph(epoch_f,rf,vf);
m_leg.set_leg(epoch_i,sc_state(r0,v0,m_leg.get_spacecraft().get_mass()),x.begin() + 3, x.end(),epoch_f,sc_state(rf,vf,x[2]),ASTRO_MU_SUN);
// We evaluate the state mismatch at the mid-point. And we use astronomical units to scale them
m_leg.get_mismatch_con(c.begin(), c.begin() + 7);
for (int i=0; i<3; ++i) c[i]/=ASTRO_AU;
for (int i=3; i<6; ++i) c[i]/=ASTRO_EARTH_VELOCITY;
c[6] /= m_leg.get_spacecraft().get_mass();
// We evaluate the constraints on the throttles writing on the 7th mismatch constrant (mass is off)
m_leg.get_throttles_con(c.begin() + 7, c.begin() + 7 + m_n_segments);
}
/// Implementation of the constraints computation.
/// Add noises to the decision vector before calling the actual constraint function.
void robust::compute_constraints_impl(constraint_vector &c, const decision_vector &x) const
{
// Temporary storage used for averaging
constraint_vector tmp(c.size(), 0.0);
c = tmp;
// Set the seed
m_drng.seed(m_seed);
// Perturb decision vector and evaluate
decision_vector x_perturbed(x);
for(unsigned int i = 0; i < m_trials; ++i){
inject_noise_x(x_perturbed);
m_original_problem->compute_constraints(tmp, x_perturbed);
for(constraint_vector::size_type j = 0; j < c.size(); ++j){
c[j] = tmp[j] / (double)m_trials;
}
}
}
/// Implementation of the constraint function.
void earth_planet::compute_constraints_impl(constraint_vector &c, const decision_vector &x) const
{
// We decode the decision vector into a multiple fly-by trajectory
trajectory.init_from_full_vector(x.begin(),x.end(),encoding);
// We evaluate the state mismatch at the mid-point. And we use astronomical units to scale them
trajectory.evaluate_all_mismatch_con(c.begin(), c.begin() + 7);
for (int i=0; i<3; ++i) c[i]/=ASTRO_AU;
for (int i=3; i<6; ++i) c[i]/=ASTRO_EARTH_VELOCITY;
// We evaluate the constraints on the throttles writing on the 7th mismatch constrant (mass is off)
trajectory.get_leg(0).get_throttles_con(c.begin() + 6, c.begin() + 6 + n_segments);
// We evaluate the constraint on the initial launch velocity
c[6 + n_segments] = (trajectory.evaluate_leg_vinf2_i(0) - vmax*vmax) / ASTRO_EARTH_VELOCITY / ASTRO_EARTH_VELOCITY;
// We evaluate the linear constraint on the epochs (tf > ti)
c[7 + n_segments] = trajectory.get_leg(0).get_t_i().mjd2000() - trajectory.get_leg(0).get_t_f().mjd2000();
}
/// Apply noise on a constraint vector
void noisy::inject_noise_c(constraint_vector& c) const
{
for(c_size_type i = 0; i < c.size(); i++){
if(m_noise_type == NORMAL){
c[i] += m_normal_dist(m_drng)*m_param_second+m_param_first;
}
else if(m_noise_type == UNIFORM){
c[i] += m_uniform_dist(m_drng)*(m_param_second-m_param_first)+m_param_first;
}
}
}
double mean_violated_constraints(const constraint_vector &c, problem::base_ptr original_problem) {
double viol = 0;
constraint_vector::size_type c_dim = original_problem->get_c_dimension();
problem::base::c_size_type number_of_eq_constraints =
original_problem->get_c_dimension() -
original_problem->get_ic_dimension();
const std::vector<double> &c_tol = original_problem->get_c_tol();
for(constraint_vector::size_type j=0; j<number_of_eq_constraints; j++) {
viol += std::max(0.,(std::abs(c.at(j)) - c_tol.at(j)));
}
for(constraint_vector::size_type j=number_of_eq_constraints; j<c_dim; j++) {
viol += std::max(0.,c.at(j));
}
viol /= c_dim;
return viol;
}