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Differential Evolution

Differential Evolution

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03 Feb 2008 (Updated )

Optimization using the evolutionary algorithm of Differential Evolution.

getdefaultparams
function DEParamsDefault = getdefaultparams
%GETDEFAULTPARAMS  Get default parameters for differential evolution.
%		DEParams = GETDEFAULTPARAMS returns a structure with a set of default
%		parameters for differential evolution.
%
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%		Markus Buehren
%		Last modified 05.07.2011
%
%		See also DIFFERENTIALEVOLUTION.

% Basic DE parameters
DEParamsDefault.algorithm      = 'DE'; % optimization algorithm
DEParamsDefault.VTR            = NaN;  % "value to reach"
DEParamsDefault.NP             = 30;   % number of population members
DEParamsDefault.F              = 0.8;  % DE-stepsize
DEParamsDefault.CR             = 0.7;  % crossover probability
DEParamsDefault.strategy       = 1;    % DE strategy

% parameters for finishing the optimization
DEParamsDefault.maxiter        = inf;  % maximum number of iterations
DEParamsDefault.maxtime        = inf;  % maximum time in seconds
DEParamsDefault.maxclock       = [];   % time when to finish optimization (time vector as 
                                       % returned by clock.m)

% parameters for reinitialization of population
DEParamsDefault.minvalstddev   = -1;
DEParamsDefault.minparamstddev = -1;
DEParamsDefault.nofevaliter    = 10;
DEParamsDefault.nochangeiter   = 10;

% parameters for information display
DEParamsDefault.infoIterations = 10;   % number of iterations
DEParamsDefault.infoPeriod     = 60;   % in seconds
DEParamsDefault.sendMailPeriod = 1800; % in seconds

% slave process parameters
DEParamsDefault.feedSlaveProc  = 0;
DEParamsDefault.slaveFileDir   = '';
DEParamsDefault.maxMasterEvals = inf;

% miscellaneous
DEParamsDefault.useInitParams  = 1;
DEParamsDefault.saveHistory    = 1;
DEParamsDefault.displayResults = 1;
DEParamsDefault.playSound      = 1;
DEParamsDefault.minimizeValue  = 1;
DEParamsDefault.validChkHandle = '';


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