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;
}
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);
}
//Sets up the test environment by building a Solution object with 4 random parameter values, SolTestFunc as the function,
//an initial Fitness of 0, 0.0 as the minimum parameter value and 100.0 as the maximum parameter value.
public void PrepareSolutionTests()
{
Random random = new Random();
this.randomItemsArray = new Double[4];
for (int i = 0; i < 4; i++)
{
this.randomItemsArray[i] = random.NextDouble();
}
List <Double> parameters = new List <double>(this.randomItemsArray);
this.Solution = new ClassicSolution(parameters, this.SolTestFunc, new Object(), 0.0, 100.0);
this.Solution.Fitness = 0.0;
}
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);
}
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();
InertiaParticleCreationParameters creationParams = new InertiaParticleCreationParameters();
creationParams.Speeds = newSpeedsList;
creationParams.Solution = newParticleSolution;
creationParams.InertiaMax = this.InertiaMax;
creationParams.InertiaMin = this.InertiaMin;
creationParams.InertiaMaxTime = this.InertiaMaxTime;
particles.Add(new InertiaParticle(creationParams));
}
return particles;
}
