angel::gamma_adaption_average_t Class Reference

$\Gamma$ adaption on average min-max-difference More...

#include <sa.hpp>

List of all members.

Public Member Functions

gamma_adaption_average_t (int p_D, double p_scaling=1.0)

Constructor.

void operator() (int costs, double &gamma)

Operator, which finally changes $\Gamma$ .

Private Attributes

int D

int sum_diff

int last_min

int last_max

int imp

double scaling

Detailed Description

$\Gamma$ adaption on average min-max-difference

Same as gamma_adaption_max_t with average instead of maximal difference.

Warning:: In contrast to other operator classes (e.g. neighbor_sequence_check_t), objects of this class can only be used in one run! For another run a new object must be created to set private variables to their initial state.

Definition at line 287 of file sa.hpp.

angel::gamma_adaption_average_t::gamma_adaption_average_t	(	int	p_D,
		double	p_scaling = `1.0`
	)			`[inline]`

Constructor.

Parameters:

	p_D	The number of improvement before $\Gamma$ is changed
	p_scaling	Scaling factor for $\Gamma$ , if omitted 1.0 is taken (no scaling)

Definition at line 295 of file sa.hpp.

void angel::gamma_adaption_average_t::operator()	(	int	costs,
		double &	gamma
	)

Operator, which finally changes $\Gamma$ .

Parameters:

	costs	The costs (objective function) of current iteration, must be larger than 0
	gamma	$\Gamma$ in current iteration, may be changed

Definition at line 191 of file sa_impl.hpp.