/**
* Update the velocity, position and personal best position of a particle
*
* @param particleIndex index of the particle in the swarm
* @param init if true, the position and velocity will be initialised.
*/
protected void updateParticle(int particleIndex, boolean init) {
int i = particleIndex;
double[] particlePosition = null;
if (init) {
// Create a new particle with random values.
// Except the first particle which has the same values
// as the network passed to the algorithm.
if (m_networks[i] == null) {
m_networks[i] = (BasicNetwork) m_bestNetwork.clone();
if (i > 0) m_randomizer.randomize(m_networks[i]);
}
particlePosition = getNetworkState(i);
m_bestVectors[i] = particlePosition;
// randomise the velocity
m_va.randomise(m_velocities[i], m_maxVelocity);
} else {
particlePosition = getNetworkState(i);
updateVelocity(i, particlePosition);
// velocity clamping
m_va.clampComponents(m_velocities[i], m_maxVelocity);
// new position (Xt = Xt-1 + Vt)
m_va.add(particlePosition, m_velocities[i]);
// pin the particle against the boundary of the search space.
// (only for the components exceeding maxPosition)
m_va.clampComponents(particlePosition, m_maxPosition);
setNetworkState(i, particlePosition);
}
updatePersonalBestPosition(i, particlePosition);
}
public void testClone() throws Throwable {
BasicNetwork source = XOR.createThreeLayerNet();
source.reset();
BasicNetwork target = (BasicNetwork) source.clone();
TestCase.assertTrue(target.equals(source));
}
