protected override List<IParticle> CreateParticles(SwarmCreationParameters parameters)
{
List<IParticle> particles = new List<IParticle>();
for (UInt32 index = 0; index < parameters.NumberOfParameters; index++)
{
List<Double> newParameterList = new List<double>();
List<Double> newSpeedsList = new List<double>();
this.CreateRandomsList(parameters.MaximumParameterValue, parameters.MinimumParameterValue, parameters.NumberOfParameters, ref newSpeedsList, ref newParameterList);
ISolution newParticleSolution = new ClassicSolution(parameters.SolutionFunction, parameters.AuxData, parameters.MinimumParameterValue, parameters.MaximumParameterValue);
newParticleSolution.Parameters = newParameterList;
newParticleSolution.UpdateFitness();
FrankensteinParticleCreationParameters creationParams = new FrankensteinParticleCreationParameters();
creationParams.Speeds = newSpeedsList;
creationParams.Solution = newParticleSolution;
creationParams.InertiaMax = this.InertiaMax;
creationParams.InertiaMin = this.InertiaMin;
creationParams.InertiaMaxTime = this.InertiaMaxTime;
creationParams.FinalTopologyUpdate = this.FinalTopologyUpdate;
creationParams.Particles = this.Particles;
int[] connectedIds = new int[parameters.NumberOfParameters];
for (int i = 0; i < parameters.NumberOfParticles; i++)
{
connectedIds[i] = i;
}
creationParams.ConnectedIds = new LinkedList<int>(connectedIds);
creationParams.RandomGenerator = this.RandomGenerator;
particles.Add(new FrankensteinParticle(creationParams));
}
return particles;
}
public void TestMethod1()
{
SwarmCreationParameters parameters = new SwarmCreationParameters();
parameters.GlobalBestBias = 4.0;
parameters.PersonalBestBias = 2.0;
parameters.RandomNumberGenerator = new Random();
parameters.NumberOfParameters = 3;
parameters.MaximumParameterValue = 10.0;
parameters.MinimumParameterValue = -10.0;
parameters.MaxIterations = 1;
parameters.NumberOfParticles = 15;
parameters.NumberOfParticleSets = 8;
parameters.FitnessThreshold = 1000000;
parameters.SolutionFunction = this.SolTestFunc;
parameters.AuxData = new object();
this.swarm = new ClassicSwarm(parameters);
}
protected new List<IParticle> CreateParticles(SwarmCreationParameters parameters)
{
List<IParticle> particles = new List<IParticle>();
for (UInt32 index = 0; index < parameters.NumberOfParameters; index++)
{
List<Double> newParameterList = new List<double>();
List<Double> newSpeedsList = new List<double>();
this.CreateRandomsList(parameters.MaximumParameterValue, parameters.MinimumParameterValue, parameters.NumberOfParameters, ref newSpeedsList, ref newParameterList);
ISolution newParticleSolution = new ClassicSolution(parameters.SolutionFunction, parameters.AuxData, parameters.MinimumParameterValue, parameters.MaximumParameterValue);
newParticleSolution.Parameters = newParameterList;
newParticleSolution.UpdateFitness();
StableParticleCreationParameters creationParams = new StableParticleCreationParameters();
creationParams.Speeds = newSpeedsList;
creationParams.Solution = newParticleSolution;
creationParams.Constraint = this.Constraint;
particles.Add(new StableParticle(creationParams));
}
return particles;
}
public ClassicSwarm(SwarmCreationParameters parameters)
{
this.FillSwarmParameters(parameters);
this.Particles = this.CreateParticles(parameters);
this.SplitParticlesInSets(parameters.NumberOfParticleSets);
}
protected virtual void FillSwarmParameters(SwarmCreationParameters parameters)
{
parameters.VerifyValues();
this.FitnessThreshold = parameters.FitnessThreshold;
this.MaxIterations = parameters.MaxIterations;
this.RandomGenerator = parameters.RandomNumberGenerator;
this.FitnessThreshold = parameters.FitnessThreshold;
this.GlobalBestBias = parameters.GlobalBestBias;
this.PersonalBestBias = parameters.PersonalBestBias;
}
protected abstract List<IParticle> CreateParticles(SwarmCreationParameters parameters);
