static void Main(string[] args)
{
geneticfx.Environment env = new geneticfx.Environment( );
env.StartGeneration += new geneticfx.Environment.EventHandlerDelegate(MaximizeBitArray.StartGenerationHandler);
env.EndGeneration += new geneticfx.Environment.EventHandlerDelegate(MaximizeBitArray.EndGenerationHandler);
geneticfx.Population initial_population = new geneticfx.Population(9);
for (int i = 0; i < initial_population.Capacity; i++)
{
MyChromosome cs = new MyChromosome();
cs.RandomizeGenes();
geneticfx.Organism o = new geneticfx.Organism(cs, 0.0F);
initial_population.AddOrganism(o);
}
env.Run(initial_population, geneticfx.FitnessDirection.Maximize);
}
static void Main(string[] args)
{
geneticfx.Environment env = new geneticfx.Environment( );
env.StartGeneration+= new geneticfx.Environment.EventHandlerDelegate( MaximizeBitArray.StartGenerationHandler );
env.EndGeneration+= new geneticfx.Environment.EventHandlerDelegate( MaximizeBitArray.EndGenerationHandler );
geneticfx.Population initial_population = new geneticfx.Population( 9 );
for (int i=0;i<initial_population.Capacity;i++)
{
MyChromosome cs = new MyChromosome();
cs.RandomizeGenes();
geneticfx.Organism o = new geneticfx.Organism( cs, 0.0F );
initial_population.AddOrganism(o);
}
env.Run( initial_population , geneticfx.FitnessDirection.Maximize);
}
public void Run()
{
geneticfx.Environment env = new geneticfx.Environment( );
env.StartGeneration += new geneticfx.Environment.EventHandlerDelegate(this.StartGenerationHandler);
env.EndGeneration += new geneticfx.Environment.EventHandlerDelegate(this.EndGenerationHandler);
geneticfx.Population initial_population = new geneticfx.Population(50);
System.Collections.ArrayList rects = new System.Collections.ArrayList();
rects.Add(new RECT(0, 0, 100, 100));
rects.Add(new RECT(0, 0, 100, 200));
rects.Add(new RECT(0, 0, 200, 100));
rects.Add(new RECT(0, 0, 200, 200));
rects.Add(new RECT(0, 0, 200, 100));
rects.Add(new RECT(0, 0, 200, 200));
rects.Add(new RECT(0, 0, 100, 100));
rects.Add(new RECT(0, 0, 100, 200));
rects.Add(new RECT(0, 0, 100, 100));
rects.Add(new RECT(0, 0, 100, 200));
rects.Add(new RECT(0, 0, 100, 100));
rects.Add(new RECT(0, 0, 100, 200));
for (int i = 0; i < initial_population.Capacity; i++)
{
MyChromosome cs = new MyChromosome(rects);
cs.RandomizeGenes();
geneticfx.Organism o = new geneticfx.Organism(cs, 0.0F);
initial_population.AddOrganism(o);
}
env.MutationRate = 0.10F;
int num_generations = 10;
env.SetupForEvolution(initial_population, geneticfx.FitnessDirection.Minimize);
string fname = "out.svg";
fname = System.IO.Path.GetFullPath(fname);
System.Xml.XmlWriter xw = new System.Xml.XmlTextWriter(fname, System.Text.Encoding.UTF8);
xw.WriteStartElement("svg");
int cur_y = 100;
for (int i = 0; i < num_generations; i++)
{
env.EvolveNextGeneration();
geneticfx.Generation generation = env.CurrentGeneration;
int cur_x = 100;
for (int generation_index = 0; generation_index < generation.population.Size; generation_index++)
{
geneticfx.Organism o = generation.population[generation_index];
MyChromosome mcr = (MyChromosome)o.Genes;
RECT bb = RECTTOOLS.get_bounding_box(mcr.layout_rects);
xw.WriteStartElement("g");
xw.WriteAttributeString("transform", string.Format("translate({0},{1})", cur_x, cur_y));
for (int icr = 0; icr < mcr.Length; icr++)
{
RECT r = mcr.layout_rects [icr];
xw.WriteStartElement("rect");
xw.WriteAttributeString("x", r.x0.ToString());
xw.WriteAttributeString("y", r.y0.ToString());
xw.WriteAttributeString("width", r.w.ToString());
xw.WriteAttributeString("height", r.h.ToString());
xw.WriteAttributeString("opacity", "0.1");
xw.WriteEndElement();
xw.WriteStartElement("text");
xw.WriteAttributeString("x", "0");
xw.WriteAttributeString("y", "0");
string s = string.Format("Gen{0} / Org{1} / Fit={2}", generation_index, o.ID, o.Fitness);
xw.WriteString(s);
xw.WriteEndElement();
}
xw.WriteEndElement();
cur_x += (int)(1000 + 100);
}
cur_y += (int)(1000 + 100);
xw.Flush();
}
xw.WriteEndElement();
xw.Flush();
xw.Close();
}
public void MakeNextGenerationThroughCrossover()
{
Generation next_generation = new Generation(Environment.generation_id_generator.GetUniqueID());
next_generation.population = new Population(this.CurrentGeneration.population.Capacity);
Organism best_organism = this.FindBestOrganismInPopulation(this.CurrentGeneration.population);
next_generation.population.AddOrganism(best_organism);
while (!next_generation.population.IsFull)
{
geneticfx.Population offspring_population = new geneticfx.Population(this.CurrentGeneration.population.Capacity);
Organism parent0 = this.SelectForCrossover();
bool perform_crossover = Environment.rand.NextDouble() < this.CrossoverRate;
if (perform_crossover)
{
Organism parent1 = this.SelectForCrossover();
Organism child0;
Organism child1;
this.Crossover(parent0, parent1, out child0, out child1);
child0.GenerationID = next_generation.ID;
offspring_population.AddOrganism(child0);
child1.GenerationID = next_generation.ID;
offspring_population.AddOrganism(child1);
}
else
{
offspring_population.AddOrganism(parent0);
}
for (int i = 0; i < offspring_population.Size; i++)
{
if (next_generation.population.IsFull)
{
break;
}
Organism child = offspring_population[i];
for (int gi = 0; gi < child.Genes.GetLength(); gi++)
{
bool perform_mutation = Environment.rand.NextDouble() < this.MutationRate;
if (perform_mutation)
{
child.Genes.MutateGene(gi);
}
}
child.Fitness = child.Genes.CalculateFitness();
next_generation.population.AddOrganism(child);
}
}
if (this.CurrentGeneration.population.Size != next_generation.population.Size)
{
throw new GeneticError("Population sizes do not match");
}
this.CurrentGeneration = next_generation;
}
public void MakeNextGenerationThroughCrossover()
{
Generation next_generation = new Generation( Environment.generation_id_generator.GetUniqueID() );
next_generation.population = new Population( this.CurrentGeneration.population.Capacity );
Organism best_organism = this.FindBestOrganismInPopulation( this.CurrentGeneration.population );
next_generation.population.AddOrganism( best_organism );
while (!next_generation.population.IsFull)
{
geneticfx.Population offspring_population = new geneticfx.Population( this.CurrentGeneration.population.Capacity );
Organism parent0 = this.SelectForCrossover();
bool perform_crossover = Environment.rand.NextDouble() < this. CrossoverRate;
if ( perform_crossover )
{
Organism parent1 = this.SelectForCrossover();
Organism child0;
Organism child1;
this.Crossover( parent0, parent1, out child0, out child1);
child0.GenerationID = next_generation.ID;
offspring_population.AddOrganism(child0);
child1.GenerationID = next_generation.ID;
offspring_population.AddOrganism(child1);
}
else
{
offspring_population.AddOrganism( parent0 );
}
for (int i=0;i<offspring_population.Size;i++)
{
if (next_generation.population.IsFull)
{
break;
}
Organism child = offspring_population[ i ];
for (int gi=0;gi<child.Genes.GetLength();gi++)
{
bool perform_mutation = Environment.rand.NextDouble() < this.MutationRate ;
if ( perform_mutation )
{
child.Genes.MutateGene(gi);
}
}
child.Fitness = child.Genes.CalculateFitness();
next_generation.population.AddOrganism( child );
}
}
if ( this.CurrentGeneration.population.Size != next_generation.population.Size )
{
throw new GeneticError("Population sizes do not match");
}
this.CurrentGeneration = next_generation;
}
public void Run()
{
geneticfx.Environment env = new geneticfx.Environment( );
env.StartGeneration+= new geneticfx.Environment.EventHandlerDelegate( this.StartGenerationHandler );
env.EndGeneration+= new geneticfx.Environment.EventHandlerDelegate( this.EndGenerationHandler );
geneticfx.Population initial_population = new geneticfx.Population( 50 );
System.Collections.ArrayList rects = new System.Collections.ArrayList();
rects.Add( new RECT(0,0,100,100) );
rects.Add( new RECT(0,0,100,200) );
rects.Add( new RECT(0,0,200,100) );
rects.Add( new RECT(0,0,200,200) );
rects.Add( new RECT(0,0,200,100) );
rects.Add( new RECT(0,0,200,200) );
rects.Add( new RECT(0,0,100,100) );
rects.Add( new RECT(0,0,100,200) );
rects.Add( new RECT(0,0,100,100) );
rects.Add( new RECT(0,0,100,200) );
rects.Add( new RECT(0,0,100,100) );
rects.Add( new RECT(0,0,100,200) );
for (int i=0;i<initial_population.Capacity;i++)
{
MyChromosome cs = new MyChromosome( rects );
cs.RandomizeGenes();
geneticfx.Organism o = new geneticfx.Organism( cs, 0.0F );
initial_population.AddOrganism(o);
}
env.MutationRate = 0.10F;
int num_generations=10;
env.SetupForEvolution( initial_population , geneticfx.FitnessDirection.Minimize);
string fname ="out.svg";
fname = System.IO.Path.GetFullPath( fname );
System.Xml.XmlWriter xw = new System.Xml.XmlTextWriter( fname, System.Text.Encoding.UTF8 );
xw.WriteStartElement("svg");
int cur_y = 100;
for (int i=0;i<num_generations;i++)
{
env.EvolveNextGeneration();
geneticfx.Generation generation = env.CurrentGeneration;
int cur_x = 100;
for (int generation_index=0;generation_index<generation.population.Size;generation_index++)
{
geneticfx.Organism o = generation.population[ generation_index ];
MyChromosome mcr = (MyChromosome) o.Genes;
RECT bb = RECTTOOLS.get_bounding_box( mcr.layout_rects );
xw.WriteStartElement("g");
xw.WriteAttributeString( "transform", string.Format( "translate({0},{1})", cur_x, cur_y ) );
for (int icr=0;icr<mcr.Length;icr++)
{
RECT r = mcr.layout_rects [icr];
xw.WriteStartElement("rect");
xw.WriteAttributeString( "x", r.x0.ToString() );
xw.WriteAttributeString( "y", r.y0.ToString());
xw.WriteAttributeString( "width", r.w.ToString());
xw.WriteAttributeString( "height", r.h.ToString() );
xw.WriteAttributeString( "opacity", "0.1");
xw.WriteEndElement();
xw.WriteStartElement("text");
xw.WriteAttributeString( "x", "0" );
xw.WriteAttributeString( "y", "0" );
string s = string.Format( "Gen{0} / Org{1} / Fit={2}", generation_index,o.ID,o.Fitness );
xw.WriteString( s );
xw.WriteEndElement();
}
xw.WriteEndElement();
cur_x += (int) (1000 + 100);
}
cur_y += (int) (1000 + 100);
xw.Flush();
}
xw.WriteEndElement();
xw.Flush();
xw.Close();
}