public GeneticAlgorithm(List <MyData> list, GenProperty gen, Bag bag, bool test)
{
_dataList = new List <MyData>(list);
_genConfiguration = new GenProperty(gen);
_bag = new Bag(bag.Weight);
this.test = test;
}
public GeneticAlgorithm()
{
_dataList = new List <MyData>();
_genConfiguration = new GenProperty();
_bag = new Bag();
test = false;
}
public void SetGenProperty(GenProperty gen)
{
this.PopulationSize = gen.PopulationSize;
this.Multiply = gen.Multiply;
this.Mutation = gen.Mutation;
this.Crossing = gen.Crossing;
this.StopConditionIndex = gen.StopConditionIndex;
this.ConditionValue = gen.ConditionValue;
}
public void CopyGenProperty(GenProperty gen)
{
_genConfiguration.SetGenProperty(gen);
}
public GenProperty(GenProperty gen)
{
SetGenProperty(gen);
}
static void Main(string[] args)
{
Bag bag = new Bag()
{
Weight = 20
};
Random random = new Random();
DataConfiguration dataConfiguration = new DataConfiguration()
{
Id = 1,
Name = "Configuration1",
DataContener = new List <MyData>()
};
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(1),
Name = "Data" + (1),
Weight = 3,
Value = 20
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(2),
Name = "Data" + (2),
Weight = 6,
Value = 10
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(3),
Name = "Data" + (3),
Weight = 7,
Value = 35
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(4),
Name = "Data" + (4),
Weight = 1,
Value = 1
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(5),
Name = "Data" + (5),
Weight = 3,
Value = 60
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(6),
Name = "Data" + (6),
Weight = 7,
Value = 6
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(7),
Name = "Data" + (7),
Weight = 1,
Value = 4
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(8),
Name = "Data" + (8),
Weight = 3,
Value = 20
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(9),
Name = "Data" + (9),
Weight = 11,
Value = 30
});
dataConfiguration.DataContener.Add(new MyData()
{
Id = (UInt64)(10),
Name = "Data" + (10),
Weight = 2,
Value = 220
});
GenProperty genProperty = new GenProperty()
{
PopulationSize = 100,
Multiply = 1,
Mutation = 50,
Crossing = 100,
StopConditionIndex = 1,
ConditionValue = 99000000
};
dataConfiguration.PrintDataConfiguration();
double test1 = 0;
double test2 = 0;
// GeneticAlgorithm geneticAlgorithm = new GeneticAlgorithm(dataConfiguration.DataContener, genProperty, bag, true);
// GeneticAlgorithm geneticAlgorithm2 = new GeneticAlgorithm(dataConfiguration.DataContener, genProperty, bag, false);
for (int i = 0; i < 9; ++i)
{
GeneticAlgorithm geneticAlgorithm = new GeneticAlgorithm(dataConfiguration.DataContener, genProperty, bag, true);
geneticAlgorithm.RunAlgorithm(ref test1);
}
for (int i = 0; i < 9; ++i)
{
GeneticAlgorithm geneticAlgorithm = new GeneticAlgorithm(dataConfiguration.DataContener, genProperty, bag, false);
geneticAlgorithm.RunAlgorithm(ref test2);
}
test1 /= 9;
test2 /= 9;
Console.WriteLine("Profit z funkcją ulepszającą:" + test1);
Console.WriteLine("Profit bez funkcji ulepszającej:" + test2);
/*
* Thread thread = new Thread(geneticAlgorithm.RunAlgorithm);
* Thread thread2 = new Thread(geneticAlgorithm2.RunAlgorithm);
* thread.Start();
* thread2.Start();
*/
Console.ReadKey();
}