pagmo::algorithm::nlopt_cobyla Class Reference

Wrapper for NLopt's COBYLA algorithm. More...

#include <nlopt_cobyla.h>

Inheritance diagram for pagmo::algorithm::nlopt_cobyla:

Public Member Functions
	nlopt_cobyla (int=100, const double &=1E-6, const double &=1E-6)
	Constructor. More...
base_ptr	clone () const
	Clone method. More...
std::string	get_name () const
	Algorithm name.
Public Member Functions inherited from pagmo::algorithm::base
	base ()
	Default constructor. More...
virtual	~base ()
	Trivial destructor. More...
std::string	human_readable () const
	Return human readable representation of the algorithm. More...
void	set_screen_output (const bool p)
	Setter-Getter for protected m_screen_output data. More...
bool	get_screen_output () const
	Gets screen output. More...
void	reset_rngs (const unsigned int) const
	Resets the seed of the internal rngs using a user-provided seed. More...

Friends
class	boost::serialization::access

Additional Inherited Members
Protected Member Functions inherited from pagmo::algorithm::base_nlopt
	base_nlopt (nlopt::algorithm, bool, bool, int, const double &, const double &)
	Constructor. More...
void	evolve (population &) const
	Evolve method. More...
std::string	human_readable_extra () const
	Extra information in human readable format. More...
Protected Attributes inherited from pagmo::algorithm::base_nlopt
nlopt::opt	m_opt
	NLOPT optimization method.
const std::size_t	m_max_iter
	Maximum number of iterations.
const double	m_ftol
	Tolerance on the fitness function variation (stopping criteria)
const double	m_xtol
	Tolerance on the decision_vector variation function (stopping criteria)
Protected Attributes inherited from pagmo::algorithm::base
bool	m_screen_output
	Indicates to the derived class whether to print stuff on screen.
rng_double	m_drng
	Random number generator for double-precision floating point values.
rng_uint32	m_urng
	Random number generator for unsigned integer values.
unsigned int	m_fevals
	A counter for the number of function evaluations.

Detailed Description

Wrapper for NLopt's COBYLA algorithm.

COBYLA (Constrained Optimization BY Linear Approximations) is a derivative-free single-objective continuous minimiser that supports nonlinear inequality constraints.

See also

M. J. D. Powell, "A direct search optimization method that models the objective and constraint functions by linear interpolation," in Advances in Optimization and Numerical Analysis, eds. S. Gomez and J.-P. Hennart (Kluwer Academic: Dordrecht, 1994), p. 51-67.

Author

Francesco Biscani (blues.nosp@m.carn.nosp@m.i@gma.nosp@m.il.c.nosp@m.om)

Definition at line 42 of file nlopt_cobyla.h.

Constructor & Destructor Documentation

pagmo::algorithm::nlopt_cobyla::nlopt_cobyla	(	int	max_iter = 100,
		const double &	ftol = 1E-6,
		const double &	xtol = 1E-6
	)

Constructor.

See also

pagmo::algorithm::base_nlopt::base_nlopt()

Definition at line 36 of file nlopt_cobyla.cpp.

Member Function Documentation

base_ptr pagmo::algorithm::nlopt_cobyla::clone ( ) const

virtual

Clone method.

Provided that the derived algorithm implements properly the copy constructor, virtually all implementations of this method will look like this:

return base_ptr(new derived_algorithm(*this));

               @return algorithm::base_ptr to a copy of this.

Implements pagmo::algorithm::base.

Definition at line 38 of file nlopt_cobyla.cpp.

---

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

• nlopt_cobyla.h
• nlopt_cobyla.cpp