DifferentialEvolution Class Reference

Differential Evolution (DE) algorithm. More...

Inheritance diagram for DifferentialEvolution:

Public Member Functions
function	DifferentialEvolution (var varargin)
	Class constructor. More...
function	optimize (var arg)
	This function optimizes the given function handle. More...
function	getPopulationSize ()
	Get the number of individuals. More...
function	getBounds ()
	Returns bounds for optimizers that need it. More...
function	setBounds (var LB, var UB)
	Sets bounds for optimizers that need it. More...
function	getInitialPopulation ()
	Gets the starting positions for the search. More...
function	setInitialPopulation (var pop)
	Sets the starting positions for the search. More...
function	getInputDimension ()
	Returns the number of input variables. More...
function	getOutputDimension ()
	Returns the number of cost functions. More...
function	setDimensions (var inDim, var outDim)
	Sets the number of input and output dimensions. More...
function	setHint (var key, var value)
	Gives a hint to the optimizer. More...
function	getHint (var key)
	Gets a hint to the optimizer. More...
function	setState (var state)
	Sets some extra information. More...
function	getState ()
	Gets some extra information. More...
function	setInputConstraints (var con)
	Sets input constraints. More...

Detailed Description

Differential Evolution (DE) algorithm.

Constructor & Destructor Documentation

function DifferentialEvolution ( var  varargin )

inline

Class constructor.

Returns

instance of the class

Member Function Documentation

function getBounds ( )

inherited

Returns bounds for optimizers that need it.

Only needed for optimization methods that support it.

Return values

LB	lower bound
UB	upper bound

function getHint ( var  key )

inherited

Gets a hint to the optimizer.

Returns a particular hint setting.

Parameters

key	property name

Return values

value

property value

function getInitialPopulation ( )

inherited

Gets the starting positions for the search.

pop may be a matrix for population-based, multi-start, etc. methods

Return values

startx

matrix of initial values

function getInputDimension ( )

inherited

Returns the number of input variables.

Return values

nvars

Number of input variables

function getOutputDimension ( )

inherited

Returns the number of cost functions.

Returns the number of output variables.

Return values

nobjectives

Number of cost functions

function getPopulationSize

(

)

Get the number of individuals.

function getState ( )

inlineinherited

Gets some extra information.

Return values

state

structure

function optimize

(

var

arg

)

This function optimizes the given function handle.

function setBounds ( var  LB, var  UB  )

inherited

Sets bounds for optimizers that need it.

Only needed for optimization methods that support it.

Parameters

LB	lower bound
UB	upper bound

function setDimensions ( var  inDim, var  outDim  )

inherited

Sets the number of input and output dimensions.

Includes some input checking to ensure that the bounds and the initial population are still correct.

Parameters

inDim	Number of input variables
outDim	Number of cost functions

If not, these variables are reset to their default values without warning!

function setHint ( var  key, var  value  )

inherited

Gives a hint to the optimizer.

Sets a hint that may or not be honored by the optimizer (depends on the type...).

Parameters

key	property name
value	property value

Only supports 'maxTime', time atm.

function setInitialPopulation ( var  pop )

inherited

Sets the starting positions for the search.

Sets the initial population.

Parameters

pop	matrix of initial values

function setInputConstraints ( var  con )

inherited

Sets input constraints.

By default the optimizer doesn't support constraints (gives error).

Parameters

con	constraint objects (cell array)

Derived classes should override this method if they do support it.

function setState ( var  state )

inlineinherited

Sets some extra information.

Parameters

state

structure

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

• src/matlab/tools/optimization/optimizers/@DifferentialEvolution/DifferentialEvolution.m
• src/matlab/tools/optimization/optimizers/@DifferentialEvolution/getPopulationSize.m
• src/matlab/tools/optimization/optimizers/@DifferentialEvolution/optimize.m