public PMPSO()
{
d_mutationProbability = new Biorob.Math.Expression();
d_socialMutationProbability = new Biorob.Math.Expression();
d_cognitiveMutationProbability = new Biorob.Math.Expression();
d_neighborhoods = new List <Neighborhood>();
}
public SPSA()
{
d_learningRate = new Biorob.Math.Expression();
d_perturbationRate = new Biorob.Math.Expression();
d_epsilon = new Biorob.Math.Expression();
d_solutions = new List <Optimizers.SPSA.Solution>();
d_rateContext = new Dictionary <string, object>();
d_rateContext["k"] = 0;
}
private void Parse(string val)
{
Biorob.Math.Expression expr = new Biorob.Math.Expression();
expr.CheckVariables = true;
if (!expr.Parse(val))
{
throw new Exception(String.Format("Could not parse expression {0}", val));
}
d_value = expr.Evaluate(Biorob.Math.Constants.Context);
d_representation = val;
}
public override void Initialize(Job job)
{
base.Initialize(job);
d_fitnesses = new Dictionary <string, Biorob.Math.Expression>();
string prefix = "fitness_";
foreach (KeyValuePair <string, string> pair in Job.Dispatcher.Settings)
{
if (pair.Key.StartsWith(prefix))
{
Biorob.Math.Expression expr = new Biorob.Math.Expression();
expr.Parse(pair.Value);
d_fitnesses.Add(pair.Key.Substring(prefix.Length), expr);
}
}
}
private void SetupExpressions()
{
d_context = new Dictionary <string, object>();
d_context["k"] = 0;
d_tournamentSize = new Biorob.Math.Expression();
d_tournamentSize.Parse(Configuration.TournamentSize);
d_tournamentProbability = new Biorob.Math.Expression();
d_tournamentProbability.Parse(Configuration.TournamentProbability);
d_mutationProbability = new Biorob.Math.Expression();
d_mutationProbability.Parse(Configuration.MutationProbability);
d_crossoverProbability = new Biorob.Math.Expression();
d_crossoverProbability.Parse(Configuration.CrossoverProbability);
d_mutationRate = new Biorob.Math.Expression();
d_mutationRate.Parse(Configuration.MutationRate);
}
public RegPSO(Job job) : base(job)
{
d_context = new Dictionary <string, object>();
d_stagnationThreshold = new Biorob.Math.Expression();
d_regroupingFactor = new Biorob.Math.Expression();
}
