protected void Populate()
{
using (var session = this.Database.CreateSession())
{
var population = new TestPopulation(session);
this.c1A = population.C1A;
this.c1B = population.C1B;
this.c1C = population.C1C;
this.c1D = population.C1D;
this.c2A = population.C2A;
this.c2B = population.C2B;
this.c2C = population.C2C;
this.c2D = population.C2D;
this.c3A = population.C3A;
this.c3B = population.C3B;
this.c3C = population.C3C;
this.c3D = population.C3D;
this.c4A = population.C4A;
this.c4B = population.C4B;
this.c4C = population.C4C;
this.c4D = population.C4D;
session.Commit();
}
}
public void MetricsChart_RefreshPlotOnFitnessEvaluated()
{
TestPopulation population = new TestPopulation();
TestAlgorithm algorithm = new TestAlgorithm();
Metric metric1 = Mock.Of <Metric>();
List <MetricResult> metric1Results = new List <MetricResult>
{
new MetricResult(0, 0, 3, metric1),
new MetricResult(0, 1, 4, metric1)
};
metric1.GetResults(0).AddRange(metric1Results);
algorithm.Metrics.Add(metric1);
MetricsChart chart = new MetricsChart
{
Algorithm = algorithm,
Population = population
};
Assert.Single(chart.PlotModel.Series);
// Clear the series to ensure it doesn't gets refreshed when the fitness is evaluated
chart.PlotModel.Series.Clear();
PrivateObject algorithmAccessor = new PrivateObject(algorithm, new PrivateType(typeof(GeneticAlgorithm)));
algorithmAccessor.Invoke("OnFitnessEvaluated",
new EnvironmentFitnessEvaluatedEventArgs(new GeneticEnvironment(algorithm), 1));
Assert.Empty(chart.PlotModel.Series);
}
public void MetricsChart_MetricWithNonDoubleResult()
{
TestPopulation population = new TestPopulation();
TestAlgorithm algorithm = new TestAlgorithm();
Metric metric1 = Mock.Of <Metric>();
List <MetricResult> metric1Results = new List <MetricResult>
{
new MetricResult(0, 0, "foo", metric1),
new MetricResult(0, 1, "bar", metric1)
};
metric1.GetResults(0).AddRange(metric1Results);
Metric metric2 = Mock.Of <Metric>();
List <MetricResult> metric2Results = new List <MetricResult>
{
new MetricResult(0, 0, 3, metric1),
new MetricResult(0, 1, 4, metric1)
};
metric2.GetResults(0).AddRange(metric2Results);
algorithm.Metrics.Add(metric1);
algorithm.Metrics.Add(metric2);
MetricsChart chart = new MetricsChart
{
Algorithm = algorithm,
Population = population
};
Assert.Single(chart.PlotModel.Series);
Assert.Equal(metric2Results, (ICollection)((LineSeries)chart.PlotModel.Series[0]).ItemsSource);
}
private static void TestStateTransition(ExecutionState fromState, ExecutionState toState, bool expectEntitiesToUpdate)
{
PopulationViewer viewer = new PopulationViewer
{
ExecutionState = fromState
};
TestPopulation population = new TestPopulation();
population.Entities.Add(Mock.Of <GeneticEntity>());
population.Entities.Add(Mock.Of <GeneticEntity>());
viewer.Population = population;
viewer.ExecutionState = toState;
if (expectEntitiesToUpdate)
{
Assert.Equal(population.Entities, viewer.SelectedPopulationEntities.ToList());
}
else
{
Assert.Null(viewer.SelectedPopulationEntities);
}
}
public void PopulationViewer_OnSelectedPopulationChanged_InitialPopulation()
{
PopulationViewer viewer = new PopulationViewer
{
ExecutionState = ExecutionState.Idle
};
TestPopulation population = new TestPopulation();
population.Entities.Add(Mock.Of <GeneticEntity>());
population.Entities.Add(Mock.Of <GeneticEntity>());
viewer.Population = population;
Assert.Null(viewer.SelectedPopulationEntities);
}
public void FitnessChart_OnPopulationChanged_NonPopulated()
{
FitnessChart chart = new FitnessChart();
PlotModel model = chart.PlotModel;
CategoryAxis axis = (CategoryAxis)model.Axes[0];
axis.Labels.Add("test");
TestPopulation population = new TestPopulation();
population.Initialize(Mock.Of <GeneticAlgorithm>());
chart.Population = population;
Assert.Equal("test", axis.Labels[0]);
}
public void MetricsChart_OnPopulationChanged_FromOtherPopulation()
{
TestPopulation population = new TestPopulation();
TestAlgorithm algorithm = new TestAlgorithm();
Metric metric1 = Mock.Of <Metric>();
List <MetricResult> metric1Results = new List <MetricResult>
{
new MetricResult(0, 0, 1, metric1),
new MetricResult(0, 1, 2, metric1)
};
metric1.GetResults(0).AddRange(metric1Results);
Metric metric2 = Mock.Of <Metric>();
List <MetricResult> metric2Results = new List <MetricResult>
{
new MetricResult(0, 0, 3, metric1),
new MetricResult(0, 1, 4, metric1)
};
metric2.GetResults(0).AddRange(metric2Results);
algorithm.Metrics.Add(metric1);
algorithm.Metrics.Add(metric2);
VerifyChartRefresh(chart =>
{
chart.Algorithm = new TestAlgorithm();
chart.Population = new TestPopulation();
}, chart =>
{
chart.Algorithm = algorithm;
chart.Population = population;
}, (metric, series) =>
{
if (metric == metric1)
{
Assert.Equal(metric1Results, (ICollection)series.ItemsSource);
}
else if (metric == metric2)
{
Assert.Equal(metric2Results, (ICollection)series.ItemsSource);
}
});
}
static void Main(string[] args)
{
string path = @"..\..\samples\MK250.txt";
KnapsackList knapsackList = InputOutput.ReadInput(path);
knapsackList.Show();
init_static_GA_GT(knapsackList);
TestPopulation t = new TestPopulation();
GA_GT ga_gt = new GA_GT();
ga_gt.RunGA_GT().Show();
Console.WriteLine("End");
Console.ReadLine();
}
public void MetricsChart_OnSelectedMetricsChanged()
{
TestPopulation population = new TestPopulation();
TestAlgorithm algorithm = new TestAlgorithm();
Metric metric1 = Mock.Of <Metric>();
List <MetricResult> metric1Results = new List <MetricResult>
{
new MetricResult(0, 0, 3, metric1),
new MetricResult(0, 1, 4, metric1)
};
metric1.GetResults(0).AddRange(metric1Results);
algorithm.Metrics.Add(metric1);
Metric metric2 = Mock.Of <Metric>();
List <MetricResult> metric2Results = new List <MetricResult>
{
new MetricResult(0, 0, 3, metric1),
new MetricResult(0, 1, 4, metric1)
};
metric2.GetResults(0).AddRange(metric2Results);
algorithm.Metrics.Add(metric2);
MetricsChart chart = new MetricsChart
{
Algorithm = algorithm,
Population = population
};
Assert.Equal(2, chart.PlotModel.Series.Count);
chart.PlotModel.Series.Clear();
chart.SelectedMetrics = new List <Metric> {
algorithm.Metrics[0]
};
Assert.Single(chart.PlotModel.Series);
}
protected void Populate()
{
var population = new TestPopulation(this.Session);
this.c1A = population.C1A;
this.c1B = population.C1B;
this.c1C = population.C1C;
this.c1D = population.C1D;
this.c2A = population.C2A;
this.c2B = population.C2B;
this.c2C = population.C2C;
this.c2D = population.C2D;
this.c3A = population.C3A;
this.c3B = population.C3B;
this.c3C = population.C3C;
this.c3D = population.C3D;
this.c4A = population.C4A;
this.c4B = population.C4B;
this.c4C = population.C4C;
this.c4D = population.C4D;
}
