DifferentialEvolution

Members

Functions

currentBestFit

RANGE currentBestFit()

Return the current best fitting parameters

initialize

void initialize()

Undocumented in source. Be warned that the author may not have intended to support it.

minimize

RANGE minimize()

Undocumented in source. Be warned that the author may not have intended to support it.

randomIndividual

RANGE randomIndividual()

Undocumented in source. Be warned that the author may not have intended to support it.

step

bool step()

Perform one minimization step (generation)

temperatureFunction

double temperatureFunction(RANGE parameters)

Undocumented in source. Be warned that the author may not have intended to support it.

Properties

randomIndividual

F randomIndividual [@property setter]

Undocumented in source. Be warned that the author may not have intended to support it.

temperatureFunction

F temperatureFunction [@property setter]

Undocumented in source. Be warned that the author may not have intended to support it.

Variables

tau1

double tau1;

Tweaking parameter, see Brest et al for details

tau2

double tau2;

Tweaking parameter, see Brest et al for details

// Function to minimize
auto fn = ( double[] xs ) {
    auto p = [ 1.0, 2.0, 10, 20, 30 ];
    return p[2] * (xs[0] - p[0]) * (xs[0] - p[0]) +
        p[3] * (xs[1] - p[1]) * (xs[1] - p[1]) + p[4];
};

// Function which will create random initial sets of parameters 
auto initFunction = ()
{
    return [ uniform( 0.0, 10.0 ), uniform( 0.0, 10.0 )];
};

auto de = new DifferentialEvolution!(double[])();
de.temperatureFunction = fn;
de.randomIndividual = initFunction;

auto min = de.minimize;

assert( equal!approxEqual( min, [ 1, 2 ] ) );

• DifferentialEvolution