GlobalSearch< T > Class Template Reference

The super class for population-based search methods. More...

#include <GlobalSearch.h>

Inheritance diagram for GlobalSearch< T >:

List of all members.

Public Member Functions
	GlobalSearch ()
	Default constructor.
unsigned	nGenerations ()
	Number of generation evolved so far in the search process.
double	evaluate (vector< double > &x)
	Evaluate the objective function.
double	bestEvaluation ()
	Best(highest) result so far.
Public Attributes
Population< T >	pop
	Population to be evolved.
ObjectiveFunction *	fObj
	Objective function to optimize.
Protected Attributes
unsigned	nGen
	Number of generation evolved so far in the search process.

---

Detailed Description

template<typename T>
class GlobalSearch< T >

The super class for population-based search methods.

<File comment goes here!!>

Copyright (c) 2008 by <Quang Huy / NTU>

Parameters:

T

Type T can be bool (binary problems), int (combinatorial problems) or real (continuous problems).

This class proposes the general interface for a population-based search algorithms,

Remarks:

Note that the nature of global search is to maximize due to the natural selection process (one with larger fitness value has better chance to survive). Therefore, if the objective function is to minimize, the evaluation should return the negative value of it.

See also:

GeneticAlgorithm | DifferentialEvolution | EvolutionaryStrategy

---

Member Function Documentation

template<typename T>

double GlobalSearch< T >::evaluate

(

vector< double > &

x

)

[inline]

Evaluate the objective function.

Parameters:

x

Input phenotype.

Returns:

Fitness value.

Wrapper operator for the objective function evaluation

Remarks:

Note that the nature of global search is to maximize due to the natural selection process (one with larger fitness value has better chance to survive). Therefore, if the objective function is to minimize, the evaluation should return the negative value of it.

See also:

ObjectiveFunction

template<typename T>

double GlobalSearch< T >::bestEvaluation

(

)

[inline]

Best(highest) result so far.

Returns:

Best(highest) objective value obtained.

Exceptions:

<exception

class> Description of criteria for throwing this exception.

Return the best evaluation obtained so far during the search process

Remarks:

If the objective function is to minimize, this will return the negative value of the fitness.

See also:

ObjectiveFunction

---

Member Data Documentation

template<typename T>

Population<T> GlobalSearch< T >::pop

Population to be evolved.

Remarks:

Write remarks for pop here.

---

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

• D:/HUYNQ/Works/Codes/Dolphin/Dolphin/EvolutionaryAlgorithms/GlobalSearch.h