OPTK  0.1.2
Toolkit for global optimisation algorithms
Public Member Functions | List of all members
syn::franke Class Reference

#include <synthetic.hpp>

Inheritance diagram for syn::franke:
syn::synthetic optk::benchmark

Public Member Functions

double evaluate (inst::set x) override
 
- Public Member Functions inherited from syn::synthetic
 synthetic (const std::string &n, u_int dims, double lb, double ub, double opt)
 
 synthetic (const std::string &n, u_int dims, double opt)
 
 ~synthetic ()
 
sspace::sspace_tget_search_space ()
 
void set_properties (std::vector< properties > p)
 
std::vector< propertiesget_properties ()
 
inst::set get_opt_param ()
 
double get_opt ()
 
void update_opt (double opt)
 
u_int get_dims ()
 
void validate_param_set (inst::set x)
 
- Public Member Functions inherited from optk::benchmark
 benchmark (const std::string &name)
 
std::string get_name ()
 

Additional Inherited Members

- Protected Member Functions inherited from syn::synthetic
void set_opt_param (inst::set op)
 
- Protected Attributes inherited from syn::synthetic
u_int m_dims
 
double m_lb
 
double m_ub
 
double m_opt
 
std::vector< propertiesm_properties
 
inst::set opt_params
 
sspace::sspace_t m_sspace
 
- Protected Attributes inherited from optk::benchmark
std::string m_name
 

Detailed Description

The Franke function has the following equation:

\[ f(\mathbf{x}) = \frac{3}{4} \exp \left( -\frac{(9x_1 - 2)^2}{4} - \frac{(9x_2 - 2)^2}{4}\right) + \frac{3}{4} \exp \left(-\frac{(9x_1 + 1)^2}{49} - \frac{9x_2 + 1}{10} \right) + \frac{1}{2} \exp \left(-\frac{(9x_1 - 7)^2}{4} - \frac{(9x_2 - 3)^2}{4} \right) - \frac{1}{5} \exp \left(-(9x_1 - 4)^2 - (9x_2 - 7)^2\right), \]

subject to \(0 \le x_i \le 1\) with a global minimum at \(\mathbf{x}^* = (0.45571037432, 0.78419067287)\) with value \(f(\mathbf{x}^*) = 0.00111528244\).

Member Function Documentation

◆ evaluate()

double syn::franke::evaluate ( inst::set  x)
overridevirtual

Evaluate the benchmark (i.e. calculate the value of the objective fuinction) on the provided values.

Parameters
xA vector of double-precision values to evaluate the benchmark at.
Todo:
Verify that a vector of doubles does not constrict the range of benchmark functions which may be evaluated (i.e. as opposed to categorical variables such as strings).

Implements optk::benchmark.


The documentation for this class was generated from the following files: