robust::robust(const base & p, unsigned int trials, const double param_rho, unsigned int seed):
base_stochastic((int)p.get_dimension(),
p.get_i_dimension(),
p.get_f_dimension(),
p.get_c_dimension(),
p.get_ic_dimension(),
p.get_c_tol(), seed),
m_original_problem(p.clone()),
m_normal_dist(0, 1),
m_uniform_dist(0, 1),
m_trials(trials),
m_rho(param_rho)
{
if(param_rho < 0){
pagmo_throw(value_error, "Rho should be greater than 0");
}
set_bounds(p.get_lb(),p.get_ub());
}
noisy::noisy(const base & p, unsigned int trials, const double param_first, const double param_second, noise_type distribution, unsigned int seed):
base_stochastic((int)p.get_dimension(),
p.get_i_dimension(),
p.get_f_dimension(),
p.get_c_dimension(),
p.get_ic_dimension(),
p.get_c_tol(), seed),
m_original_problem(p.clone()),
m_trials(trials),
m_normal_dist(0.0,1.0),
m_uniform_dist(0.0,1.0),
m_decision_vector_hash(),
m_param_first(param_first),
m_param_second(param_second),
m_noise_type(distribution)
{
if(distribution == UNIFORM && param_first > param_second){
pagmo_throw(value_error, "Bounds specified for the uniform noise are not valid.");
}
set_bounds(p.get_lb(),p.get_ub());
}