Function geneticSearch

examples/machine_learning/geneticalgorithm.cpp:125–158

}

void geneticSearch(bool console, const int nSamples, const int n) {
    array searchSpaceXDisplay;
    array searchSpaceYDisplay;
    array searchSpace;
    array sampleX;
    array sampleY;
    array sampleZ;

    init(searchSpace, searchSpaceXDisplay, searchSpaceYDisplay, sampleX,
         sampleY, sampleZ, nSamples, n);
    float trueMax = max<float>(searchSpace);
    float maximum = -trueMax;

    if (!console) {
        af::Window win(1600, 800, "Arrayfire Genetic Algorithm Search Demo");
        win.grid(1, 2);
        do {
            reproducePrint(maximum, searchSpace, sampleX, sampleY, sampleZ,
                           trueMax, nSamples, n);
            win(0, 0).setAxesTitles("IdX", "IdY", "Search Space");
            win(0, 1).setAxesTitles("IdX", "IdY", "Search Space");
            win(0, 0).surface(searchSpaceXDisplay, searchSpaceYDisplay,
                              searchSpace);
            win(0, 1).scatter(sampleX.as(f32), sampleY.as(f32), sampleZ.as(f32),
                              AF_MARKER_CIRCLE);
            win.show();
        } while (!win.close());
    } else {
        do {
            reproducePrint(maximum, searchSpace, sampleX, sampleY, sampleZ,
                           trueMax, nSamples, n);
        } while (maximum < trueMax * 0.99);
    }
}

int main(int argc, char** argv) {
    bool console       = false;