public override void ReadIndividual(IEvolutionState state, BinaryReader dataInput)
{
base.ReadIndividual(state, dataInput);
// Next, read auxillary arrays.
if (dataInput.ReadBoolean())
{
Velocity = new double[dataInput.ReadInt32()];
for (int i = 0; i < Velocity.Length; i++)
{
Velocity[i] = dataInput.ReadDouble();
}
}
else
{
Velocity = new double[genome.Length];
}
if (dataInput.ReadBoolean())
{
Neighborhood = new int[dataInput.ReadInt32()];
for (int i = 0; i < Neighborhood.Length; i++)
{
Neighborhood[i] = dataInput.ReadInt32();
}
}
else
{
Neighborhood = null;
}
if (dataInput.ReadBoolean())
{
NeighborhoodBestGenome = new double[dataInput.ReadInt32()];
for (int i = 0; i < NeighborhoodBestGenome.Length; i++)
{
NeighborhoodBestGenome[i] = dataInput.ReadDouble();
}
}
else
{
NeighborhoodBestGenome = null;
}
if (dataInput.ReadBoolean())
{
NeighborhoodBestFitness = (Fitness)Fitness.Clone();
NeighborhoodBestFitness.ReadFitness(state, dataInput);
}
if (dataInput.ReadBoolean())
{
PersonalBestGenome = new double[dataInput.ReadInt32()];
for (int i = 0; i < PersonalBestGenome.Length; i++)
{
PersonalBestGenome[i] = dataInput.ReadDouble();
}
}
else
{
PersonalBestGenome = null;
}
if (dataInput.ReadBoolean())
{
PersonalBestFitness = (Fitness)Fitness.Clone();
PersonalBestFitness.ReadFitness(state, dataInput);
}
}
public override void ReadIndividual(IEvolutionState state,
StreamReader reader)
{
base.ReadIndividual(state, reader);
// Next, read auxillary header.
DecodeReturn d = new DecodeReturn(Code.ReadStringWithPreamble(AUXILLARY_PREAMBLE, state, reader));
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool v = d.L != 0;
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool n = d.L != 0;
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool nb = d.L != 0;
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool nbf = d.L != 0;
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool pb = d.L != 0;
Code.Decode(d);
if (d.Type != DecodeReturn.T_BOOLEAN)
{
state.Output.Fatal("Line " + d.LineNumber + " should have six boolean values but seems to have fewer.");
}
bool pbf = d.L != 0;
// Next, read auxillary arrays.
if (v)
{
String s = reader.ReadLine();
d = new DecodeReturn(s);
Code.Decode(d);
if (d.Type != DecodeReturn.T_INT)
{
state.Output.Fatal("Velocity length missing.");
}
Velocity = new double[(int)d.L];
for (int i = 0; i < Velocity.Length; i++)
{
Code.Decode(d);
if (d.Type != DecodeReturn.T_DOUBLE)
{
state.Output.Fatal("Velocity information not long enough");
}
Velocity[i] = d.D;
}
}
else
{
Velocity = new double[genome.Length];
}
if (n)
{
String s = reader.ReadLine();
d = new DecodeReturn(s);
Code.Decode(d);
if (d.Type != DecodeReturn.T_INT)
{
state.Output.Fatal("Neighborhood length missing.");
}
Neighborhood = new int[(int)(d.L)];
for (int i = 0; i < Neighborhood.Length; i++)
{
Code.Decode(d);
if (d.Type != DecodeReturn.T_INT)
{
state.Output.Fatal("Neighborhood information not long enough");
}
Neighborhood[i] = (int)(d.L);
}
}
else
{
Neighborhood = null;
}
if (nb)
{
String s = reader.ReadLine();
d = new DecodeReturn(s);
Code.Decode(d);
if (d.Type != DecodeReturn.T_INT)
{
state.Output.Fatal("Neighborhood-Best length missing.");
}
NeighborhoodBestGenome = new double[(int)(d.L)];
for (int i = 0; i < NeighborhoodBestGenome.Length; i++)
{
Code.Decode(d);
if (d.Type != DecodeReturn.T_DOUBLE)
{
state.Output.Fatal("Neighborhood-Best genome not long enough");
}
NeighborhoodBestGenome[i] = d.D;
}
}
else
{
NeighborhoodBestGenome = null;
}
if (nbf)
{
// here we don't know what kind of fitness it is. So we'll do our best and guess
// that it's the same fitness as our own Particle
NeighborhoodBestFitness = (Fitness)(Fitness.Clone());
NeighborhoodBestFitness.ReadFitness(state, reader);
}
if (pb)
{
String s = reader.ReadLine();
d = new DecodeReturn(s);
Code.Decode(d);
if (d.Type != DecodeReturn.T_INT)
{
state.Output.Fatal("Personal-Best length missing.");
}
PersonalBestGenome = new double[(int)(d.L)];
for (int i = 0; i < PersonalBestGenome.Length; i++)
{
Code.Decode(d);
if (d.Type != DecodeReturn.T_DOUBLE)
{
state.Output.Fatal("Personal-Best genome not long enough");
}
PersonalBestGenome[i] = d.D;
}
}
else
{
PersonalBestGenome = null;
}
if (pbf)
{
// here we don't know what kind of fitness it is. So we'll do our best and guess
// that it's the same fitness as our own Particle
PersonalBestFitness = (Fitness)Fitness.Clone();
PersonalBestFitness.ReadFitness(state, reader);
}
}
