corrected weight factor and updated doc
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2 changed files with 26 additions and 24 deletions
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@ -37,7 +37,7 @@
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/** Standard velocity performer for particle swarm optimization. Derivated from abstract eoVelocity,
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* At step t: v(t+1)= c1 * v(t) + c2 * r2 * ( xbest(t)-x(t) ) + c3 * r3 * ( gbest(t) - x(t) )
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* At step t: v(t+1)= w * v(t) + c1 * r1 * ( xbest(t)-x(t) ) + c2 * r2 * ( gbest(t) - x(t) )
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* (ci given and Ri chosen at random in [0;1]).
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*/
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template < class POT > class eoStandardVelocity:public eoVelocity < POT >
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@ -52,25 +52,25 @@ public:
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/** Full constructor: Bounds and bound modifier required
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* @param _topology - The topology to get the global/local/other best
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* @param _c1 - The first learning factor quantify how much the particle trusts itself. Type must be POT::ParticleVelocityType
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* @param _c2 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c3 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _w - The weight factor.
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* @param _c1 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c2 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _bounds - An eoRealBaseVectorBounds: real bounds for real velocities.
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* If the velocities are not real, they won't be bounded by default. Should have a eoBounds ?
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* @param _boundsModifier - An eoRealBoundModifier used to modify the bounds (for real bounds only).
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* @param _gen - The eo random generator, default=rng
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*/
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eoStandardVelocity (eoTopology < POT > & _topology,
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const VelocityType & _c1,
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const VelocityType & _w,
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const VelocityType & _c1,
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const VelocityType & _c2,
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const VelocityType & _c3,
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eoRealVectorBounds & _bounds,
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eoRealBoundModifier & _bndsModifier,
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eoRng & _gen = rng):
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topology(_topology),
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omega (_w),
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c1 (_c1),
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c2 (_c2),
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c3 (_c3),
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bounds(_bounds),
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bndsModifier(_bndsModifier),
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gen(_gen){}
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@ -78,43 +78,43 @@ public:
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/** Constructor: No bound updater required <-> fixed bounds
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* @param _topology - The topology to get the global/local/other best
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* @param _c1 - The first learning factor quantify how much the particle trusts itself. Type must be POT::ParticleVelocityType
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* @param _c2 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c3 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _w - The weight factor.
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* @param _c1 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c2 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _bounds - An eoRealBaseVectorBounds: real bounds for real velocities.
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* If the velocities are not real, they won't be bounded by default. Should have a eoBounds ?
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* @param _gen - The eo random generator, default=rng
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*/
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eoStandardVelocity (eoTopology < POT > & _topology,
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const VelocityType & _w,
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const VelocityType & _c1,
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const VelocityType & _c2,
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const VelocityType & _c3,
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eoRealVectorBounds & _bounds,
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eoRng & _gen = rng):
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topology(_topology),
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omega (_w),
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c1 (_c1),
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c2 (_c2),
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c3 (_c3),
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bounds(_bounds),
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bndsModifier(dummyModifier),
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gen(_gen){}
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/** Constructor: Neither bounds nor bound updater required <-> free velocity
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* @param _c1 - The first learning factor quantify how much the particle trusts itself. Type must be POT::ParticleVelocityType
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* @param _c2 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c3 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _w - The weight factor.
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* @param _c1 - The second learning factor used for the particle's best. Type must be POT::ParticleVelocityType
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* @param _c2 - The third learning factor used for the local/global best(s). Type must be POT::ParticleVelocityType
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* @param _gen - The eo random generator, default=rng
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*/
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eoStandardVelocity (eoTopology < POT > & _topology,
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const VelocityType & _w,
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const VelocityType & _c1,
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const VelocityType & _c2,
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const VelocityType & _c3,
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eoRng & _gen = rng):
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topology(_topology),
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c1 (_c1),
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omega (_w),
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c1 (_c1),
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c2 (_c2),
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c3 (_c3),
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bounds(*(new eoRealVectorNoBounds(0))),
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bndsModifier(dummyModifier),
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gen(_gen)
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@ -129,14 +129,14 @@ public:
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*/
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void operator () (POT & _po,unsigned _indice)
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{
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VelocityType r1;
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VelocityType r2;
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VelocityType r3;
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VelocityType newVelocity;
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// cast the learning factors to VelocityType
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r1 = (VelocityType) rng.uniform (1) * c1;
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r2 = (VelocityType) rng.uniform (1) * c2;
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r3 = (VelocityType) rng.uniform (1) * c3;
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// need to resize the bounds even if there are dummy because of "isBounded" call
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bounds.adjust_size(_po.size());
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@ -144,7 +144,7 @@ public:
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// assign the new velocities
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for (unsigned j = 0; j < _po.size (); j++)
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{
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newVelocity= c1 * _po.velocities[j] + r2 * (_po.bestPositions[j] - _po[j]) + r3 * (topology.best (_indice)[j] - _po[j]);
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newVelocity= omega * _po.velocities[j] + r1 * (_po.bestPositions[j] - _po[j]) + r2 * (topology.best (_indice)[j] - _po[j]);
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/* check bounds */
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if (bounds.isMinBounded(j))
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@ -174,9 +174,9 @@ public:
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protected:
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eoTopology < POT > & topology;
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const VelocityType & omega; // social/cognitive coefficient
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const VelocityType & c1; // social/cognitive coefficient
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const VelocityType & c2; // social/cognitive coefficient
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const VelocityType & c3; // social/cognitive coefficient
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eoRealVectorBounds bounds; // REAL bounds even if the velocity could be of another type.
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eoRealBoundModifier & bndsModifier;
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@ -77,9 +77,11 @@ int main()
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// Terminators
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eoGenContinue <Particle> genCont (50);
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// the full initializer
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eoInitializer <Particle> init(eval,veloRandom,localInit,topology,pop);
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// PS flight
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eoEasyPSO<Particle> pso(genCont, eval, velocity, flight);
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eoEasyPSO<Particle> pso(init,genCont, eval, velocity, flight);
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// flight
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