/// <summary>
/// Overridden to include the global best, neighborhood bests, personal bests, and previous Individuals in the stream.
/// The neighborhood size, clamp range, and initial velocity scale are not included -- it's assumed you're using the
/// same values for them on reading, or understand that the values are revised.
/// </summary>
public override void WriteSubpopulation(IEvolutionState state, BinaryWriter writer)
{
// global best
if (GlobalBest == null)
{
writer.Write(false);
}
else
{
writer.Write(true);
GlobalBest.WriteIndividual(state, writer);
}
// NeighborhoodBests
for (var i = 0; i < Individuals.Count; i++)
{
if (NeighborhoodBests[i] == null)
{
writer.Write(false);
}
else
{
writer.Write(true);
NeighborhoodBests[i].WriteIndividual(state, writer);
}
}
// PersonalBests
for (var i = 0; i < Individuals.Count; i++)
{
if (PersonalBests[i] == null)
{
writer.Write(false);
}
else
{
writer.Write(true);
PersonalBests[i].WriteIndividual(state, writer);
}
}
// previous Individuals
for (var i = 0; i < Individuals.Count; i++)
{
if (PreviousIndividuals[i] == null)
{
writer.Write(false);
}
else
{
writer.Write(true);
PreviousIndividuals[i].WriteIndividual(state, writer);
}
}
base.WriteSubpopulation(state, writer);
}
/// <summary>
/// Overridden to include the global best, neighborhood bests, personal bests, and previous Individuals in the stream.
/// The neighborhood size, clamp range, and initial velocity scale are not included -- it's assumed you're using the
/// same values for them on reading, or understand that the values are revised.
/// </summary>
public override void PrintSubpopulation(IEvolutionState state, StreamWriter writer)
{
// global best
writer.WriteLine(GLOBAL_BEST_PREAMBLE);
if (GlobalBest == null)
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false));
}
else
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true));
GlobalBest.PrintIndividual(state, writer);
}
// NeighborhoodBests
writer.WriteLine(NEIGHBORHOOD_BEST_PREAMBLE);
for (var i = 0; i < Individuals.Count; i++)
{
if (NeighborhoodBests[i] == null)
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false));
}
else
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true));
NeighborhoodBests[i].PrintIndividual(state, writer);
}
}
// PersonalBests
writer.WriteLine(PERSONAL_BEST_PREAMBLE);
for (var i = 0; i < Individuals.Count; i++)
{
if (PersonalBests[i] == null)
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false));
}
else
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true));
PersonalBests[i].PrintIndividual(state, writer);
}
}
// NeighborhoodBests
writer.WriteLine(PREVIOUS_INDIVIDUAL_PREAMBLE);
for (var i = 0; i < Individuals.Count; i++)
{
if (PreviousIndividuals[i] == null)
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false));
}
else
{
writer.WriteLine(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true));
PreviousIndividuals[i].PrintIndividual(state, writer);
}
}
base.PrintSubpopulation(state, writer);
}
/// <summary>
/// Overridden to include the global best, neighborhood bests, personal bests, and previous Individuals in the stream.
/// The neighborhood size, clamp range, and initial velocity scale are not included -- it's assumed you're using the
/// same values for them on reading, or understand that the values are revised.
/// </summary>
public override void PrintSubpopulation(IEvolutionState state, int log)
{
// global best
state.Output.PrintLn(GLOBAL_BEST_PREAMBLE, log);
if (GlobalBest == null)
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false), log);
}
else
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true), log);
GlobalBest.PrintIndividual(state, log);
}
// NeighborhoodBests
state.Output.PrintLn(NEIGHBORHOOD_BEST_PREAMBLE, log);
for (var i = 0; i < Individuals.Count; i++)
{
if (NeighborhoodBests[i] == null)
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false), log);
}
else
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true), log);
NeighborhoodBests[i].PrintIndividual(state, log);
}
}
// PersonalBests
state.Output.PrintLn(PERSONAL_BEST_PREAMBLE, log);
for (var i = 0; i < Individuals.Count; i++)
{
if (PersonalBests[i] == null)
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false), log);
}
else
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true), log);
PersonalBests[i].PrintIndividual(state, log);
}
}
// NeighborhoodBests
state.Output.PrintLn(PREVIOUS_INDIVIDUAL_PREAMBLE, log);
for (var i = 0; i < Individuals.Count; i++)
{
if (PreviousIndividuals[i] == null)
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(false), log);
}
else
{
state.Output.PrintLn(INDIVIDUAL_EXISTS_PREAMBLE + Code.Encode(true), log);
PreviousIndividuals[i].PrintIndividual(state, log);
}
}
base.PrintSubpopulation(state, log);
}