pagmo::algorithm::sea Class Reference

(N+1)-EA Simple Evolutionary Algorithm More...

#include <sea.h>

Inheritance diagram for pagmo::algorithm::sea:

Public Member Functions
	sea (int gen=1)
	Constructor. More...
base_ptr	clone () const
	Clone method.
void	evolve (population &) const
	Evolve implementation. 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...

Protected Member Functions
std::string	human_readable_extra () const
	Extra human readable algorithm info. More...

Friends
class	boost::serialization::access

Additional Inherited Members
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

(N+1)-EA Simple Evolutionary Algorithm

Used in many works dealing with

At each generation the best individual is selected and offspring is generated performing a global mutation on it (for each dimension of the problem the gene is forced to a random gene inside the contrains).

This particular implementation of EA is able to solve integer box-contrained single-objective problems.

See also

Oliveto, Pietro S., Jun He, and Xin Yao. "Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results." International Journal of Automation and Computing 4.3 (2007): 281-293.

Author

Andrea Mambrini (andre.nosp@m.a.ma.nosp@m.mbrin.nosp@m.i@gm.nosp@m.ail.c.nosp@m.om)

Definition at line 53 of file sea.h.

Constructor & Destructor Documentation

pagmo::algorithm::sea::sea

(

int

gen = 1

)

Constructor.

Allows to specify in detail all the parameters of the algorithm.

Parameters

[in]

gen

Number of generations to evolve.

Exceptions

value_error

if gen is negative, or the problem i not integer, box contrained and single-objective

Definition at line 46 of file sea.cpp.

Member Function Documentation

void pagmo::algorithm::sea::evolve ( population &  pop ) const

virtual

Evolve implementation.

Run the EA for the number of generations specified in the constructors.

Parameters

[in,out]

pop

input/output pagmo::population to be evolved.

Implements pagmo::algorithm::base.

Definition at line 67 of file sea.cpp.

std::string pagmo::algorithm::sea::human_readable_extra ( ) const

protectedvirtual

Extra human readable algorithm info.

Will return a formatted string displaying the parameters of the algorithm.

Reimplemented from pagmo::algorithm::base.

Definition at line 124 of file sea.cpp.

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

• sea.h
• sea.cpp