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added doc details to recognize particle swarm optimization

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This commit is contained in:
tlegrand 2007-07-03 09:13:07 +00:00
commit 3adf8a19f4
20 changed files with 25 additions and 20 deletions
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2
eo/src/PO.h
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@ -30,7 +30,7 @@
#include <EO.h> #include <EO.h>
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** PO inheriting from EO is specially designed for PSO particle.POs have got a fitness, /** PO inheriting from EO is specially designed for particle swarm optimization particle.POs have got a fitness,
which at the same time needs to be only an object with the operation less than (<) which at the same time needs to be only an object with the operation less than (<)
defined. A best fitness also belongs to the particle.Fitness says how defined. A best fitness also belongs to the particle.Fitness says how
good is the particle for a current iteration whereas the best fitness can be saved for good is the particle for a current iteration whereas the best fitness can be saved for

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eo/src/eoBinaryFlight.h
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@ -31,7 +31,7 @@
/** Abstract class for binary flight. Positions are updated but are expected to be binary. /** Abstract class for binary flight of particle swarms. Positions are updated but are expected to be binary.
* A function must be used to decide, according to continuous velocities, of the * A function must be used to decide, according to continuous velocities, of the
* new positions (0,1 ... ?) * new positions (0,1 ... ?)
*/ */

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eo/src/eoBitParticle.h
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@ -29,7 +29,7 @@
#include <eoVectorParticle.h> #include <eoVectorParticle.h>
/** eoBitParticle: Implementation of a bit-coded particle. /** eoBitParticle: Implementation of a bit-coded particle (swarm optimization).
* Positions and best positions are 0 or 1 but the velocity is a vector of double. * Positions and best positions are 0 or 1 but the velocity is a vector of double.
*/ */
template < class FitT> class eoBitParticle: public eoVectorParticle<FitT,bool,double> template < class FitT> class eoBitParticle: public eoVectorParticle<FitT,bool,double>

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eo/src/eoConstrictedVariableWeightVelocity.h
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@ -35,7 +35,7 @@
/** Inertia variable weighted based velocity performer + constriction. Derivated from abstract eoVelocity, /** Inertia variable + constriction velocity for particle swarm optimization. Derivated from abstract eoVelocity,
* At step t: v(t+1)= K * ( w*v(t) + c1*r1* (xbest(t)-x(t)) + c2*r2* (gbest(t) - x(t))) * At step t: v(t+1)= K * ( w*v(t) + c1*r1* (xbest(t)-x(t)) + c2*r2* (gbest(t) - x(t)))
* w is updated each time the velocity performer is called and K is fixed * w is updated each time the velocity performer is called and K is fixed
* (ci given and Ri chosen at random in [0;1]). * (ci given and Ri chosen at random in [0;1]).

2
eo/src/eoConstrictedVelocity.h
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@ -34,7 +34,7 @@
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** Constricted velocity performer. Derivated from abstract eoVelocity, /** Constricted velocity performer for particle swarm optimization. Derivated from abstract eoVelocity,
* At step t+1 : v(t+1)= C * [ v(t) + c1*r1 * (xbest(t)-x(t)) + c2*r2 * (gbest(t) - x(t)) ] * At step t+1 : v(t+1)= C * [ v(t) + c1*r1 * (xbest(t)-x(t)) + c2*r2 * (gbest(t) - x(t)) ]
* C is fixed for all the particles and all the generations. * C is fixed for all the particles and all the generations.
* Default C = 2 * k / abs(2 - P - sqrt (P*(P-4))) * Default C = 2 * k / abs(2 - P - sqrt (P*(P-4)))

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eo/src/eoFlight.h
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@ -30,7 +30,7 @@
#include <utils/eoRealVectorBounds.h> #include <utils/eoRealVectorBounds.h>
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** Abstract class for PSO flight. /** Abstract class for particle swarm optimization flight.
* All the flights must derivated from eoFlight. * All the flights must derivated from eoFlight.
*/ */

3
eo/src/eoGaussRealWeightUp.h
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@ -32,7 +32,8 @@
/** /**
* Update an inertia weight by assigning it a Gaussian randomized value. * Update an inertia weight by assigning it a Gaussian randomized value
* (used for the velocity in particle swarm optimization).
*/ */
class eoGaussRealWeightUp:public eoWeightUpdater<double> class eoGaussRealWeightUp:public eoWeightUpdater<double>
{ {

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eo/src/eoLinearDecreasingWeightUp.h
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@ -31,7 +31,7 @@
/** /**
* Linear (inertia) weight updater. Update a weight according to: * Linear (inertia) weight updater for particle swarm optimization. Update a weight according to:
* w(t)=(w(0)-w(Nt))*(Nt -t)/Nt + w(Nt) where * w(t)=(w(0)-w(Nt))*(Nt -t)/Nt + w(Nt) where
* t is the current generation/event * t is the current generation/event
* Nt is the total number of generations/event * Nt is the total number of generations/event

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eo/src/eoLinearTopology.h
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@ -34,7 +34,7 @@
/** /**
* One of the local best strategies. Each particle has a fixed number of neighbours, ans * One of the local best strategies for particle swarm optimization. Each particle has a fixed number of neighbours, ans
* the neighborhood is social. * the neighborhood is social.
* The topology is never modified during the flight. * The topology is never modified during the flight.
*/ */

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eo/src/eoRandomRealWeightUp.h
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@ -31,7 +31,9 @@
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** /**
* Update an inertia weight by assigning it an (uniform) random value. * Update an inertia weight by assigning it an (uniform) random value.
* The weight is a basic feature to evaluate the velocity of a particle in
* swarm optimization.
*/ */
class eoRandomRealWeightUp:public eoWeightUpdater<double> class eoRandomRealWeightUp:public eoWeightUpdater<double>
{ {

3
eo/src/eoRealParticle.h
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@ -29,7 +29,8 @@
#include <eoVectorParticle.h> #include <eoVectorParticle.h>
/** eoRealParticle: Implementation of a real-coded particle. Positions, velocities and best positions are real-coded. /** eoRealParticle: Implementation of a real-coded particle for
* particle swarm optimization. Positions, velocities and best positions are real-coded.
*/ */
template < class FitT> class eoRealParticle: public eoVectorParticle<FitT,double,double> template < class FitT> class eoRealParticle: public eoVectorParticle<FitT,double,double>

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eo/src/eoSigBinaryFlight.h
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@ -32,7 +32,7 @@
/** /**
* Binary flight based on the sigmoid function. Velocities are expected to be "double" * Binary flight for particle swarm optimization based on the sigmoid function. Velocities are expected to be "double"
* Consider Pi to be the i-th position of a particle and Vi to be the i-th velocity of the same particle : * Consider Pi to be the i-th position of a particle and Vi to be the i-th velocity of the same particle :
* if rand[0;1] < sig(Vi) (Vi <=> double) * if rand[0;1] < sig(Vi) (Vi <=> double)
* Pi=1 * Pi=1

2
eo/src/eoStandardFlight.h
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@ -31,7 +31,7 @@
/** Standard PSO flight. Derivated from abstract eoFlight, /** Standard flight for particle swarm optimization. Derivated from abstract eoFlight,
* just adds the velocities to the current position of the particle * just adds the velocities to the current position of the particle
* and invalidates its fitness * and invalidates its fitness
*/ */

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eo/src/eoStandardVelocity.h
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@ -35,7 +35,7 @@
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** Standard PSO velocity performer. Derivated from abstract eoVelocity, /** Standard velocity performer for particle swarm optimization. Derivated from abstract eoVelocity,
* At step t: v(t+1)= v(t) + c1*r1* ( xbest(t)-x(t) ) + c2*r2* ( gbest(t) - x(t) ) * At step t: v(t+1)= v(t) + c1*r1* ( xbest(t)-x(t) ) + c2*r2* ( gbest(t) - x(t) )
* (ci given and Ri chosen at random in [0;1]). * (ci given and Ri chosen at random in [0;1]).
*/ */

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eo/src/eoStarTopology.h
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@ -32,7 +32,7 @@
/** /**
* Topology dedicated to "globest best" strategy. * Topology dedicated to "globest best" strategy for particle swarm optimization.
* All the particles of the swarm belong to the same and only social neighborhood. * All the particles of the swarm belong to the same and only social neighborhood.
* The global best is stored as a protected member and updated by using the "updateNeighborhood" method. * The global best is stored as a protected member and updated by using the "updateNeighborhood" method.
*/ */

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eo/src/eoVariableInertiaWeightedVelocity.h
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@ -35,7 +35,7 @@
/** Inertia variable weighted based velocity performer. Derivated from abstract eoVelocity, /** Inertia variable weight based velocity for particle swarm optimization. Derivated from abstract eoVelocity,
* At step t: v(t+1)= w*v(t) + c1*r1* ( xbest(t)-x(t) ) + c2*r2* ( gbest(t) - x(t) ) * At step t: v(t+1)= w*v(t) + c1*r1* ( xbest(t)-x(t) ) + c2*r2* ( gbest(t) - x(t) )
* w is updated each time the velocity performer is called. * w is updated each time the velocity performer is called.
* (ci given and Ri chosen at random in [0;1]). * (ci given and Ri chosen at random in [0;1]).

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eo/src/eoVectorParticle.h
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@ -28,7 +28,7 @@
#include <PO.h> #include <PO.h>
/** /**
* Main class for particle representation. The positions, velocities and the best positions * Main class for particle representation of particle swarm optimization. The positions, velocities and the best positions
* associated to the particle are stored as vectors. Inheriting from PO and std::vector, * associated to the particle are stored as vectors. Inheriting from PO and std::vector,
* tree templates arguments are required: the fitness type (which is also the type of the * tree templates arguments are required: the fitness type (which is also the type of the
* particle's best fitness), the position type and the velocity type. * particle's best fitness), the position type and the velocity type.

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eo/src/eoVelocity.h
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@ -32,7 +32,7 @@
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** /**
* Abstract class for PSO velocities calculation. * Abstract class for velocities calculation (particle swarm optimization).
* All the velocities must derivated from eoVelocity. * All the velocities must derivated from eoVelocity.
*/ */
template < class POT > class eoVelocity:public eoBF < POT &,unsigned , void > template < class POT > class eoVelocity:public eoBF < POT &,unsigned , void >

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eo/src/eoVelocityInit.h
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@ -32,7 +32,7 @@
#include <eoSTLFunctor.h> #include <eoSTLFunctor.h>
#include <utils/eoRndGenerators.h> #include <utils/eoRndGenerators.h>
/** Abstract class for PSO velocities initilization.*/ /** Abstract class for velocities initilization of particle swarm optimization.*/
template < class POT > class eoVelocityInit:public eoInit < POT > template < class POT > class eoVelocityInit:public eoInit < POT >
{ {
public: public:

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eo/src/eoWeightUpdater.h
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@ -30,7 +30,8 @@
//----------------------------------------------------------------------------- //-----------------------------------------------------------------------------
/** /**
* Abstract class for (inertia) weight updater. Used inside classes extending eoVelocity. * Abstract class for (inertia) weight updater (particle swarm optimization).
* Used inside classes extending eoVelocity.
*/ */
template < class WeightType > class eoWeightUpdater: public eoUF < WeightType &, void > {}; template < class WeightType > class eoWeightUpdater: public eoUF < WeightType &, void > {};