public static void Begin()
{
var parameters = new ConfiguredLogicalNetworkParameters
{
InputInterfaceLength = test.InputSize,
OutputInterfaceLength = test.OutputSize,
//MaxConnectionIndex = 40,
//ConnectionCountRange = new InclusiveRange(100, 200),
MaxConnectionIndex = 60,
ConnectionCountRange = IntRange.CreateFixed(600),
FeedForward = true,
IndexMutationChance = 0.5,
AvailableGates = new HashSet<LogicGateType>
{
LogicGateType.AND,
LogicGateType.NAND,
LogicGateType.NOR,
LogicGateType.OR,
LogicGateType.XNOR,
LogicGateType.XOR
},
Test = test
};
var factory = new ConfiguredLogicalNetworkBodyFactory(parameters);
factory.MutationParameters.MutationChunkSize = IntRange.CreateExclusive(1, parameters.ConnectionCountRange.MaxValue / 2);
factory.MutationParameters.CrossoverChunkSize = IntRange.CreateExclusive(1, parameters.ConnectionCountRange.MaxValue);
//factory.MutationParameters.MutationChunkSize = new InclusiveRange(100);
//factory.MutationParameters.CrossoverChunkSize = new InclusiveRange(10);
factory.MutationParameters.PointMutationChance = 0.01;
factory.MutationParameters.DeletionMutationChance = 0.001;
factory.MutationParameters.DuplicationMutationChance = 0.001;
factory.MutationParameters.InsertionMutationChance = 0.001;
factory.MutationParameters.TranslocationMutationChance = 0.001;
factory.MutationParameters.InversionMutationChance = 0.001;
var population = new ConfiguredLogicalNetworkPopulation();
population.ChanceOfMigration = 0.05;
for (int idx = 0; idx < groupCount; idx++)
{
var group = new ConfiguredLogicalNetworkGroup(
factory,
groupSize);
//group.SelectionStrategy = new RandomSelectionStrategy();
group.ParentCount = IntRange.CreateFixed(3);
population.Groups.Add(group);
}
var context = new GAContext(population);
context.BestBodyArrived += OnBestArrived;
sw.Start();
context.Start();
Console.ReadKey();
context.Stop();
sw.Stop();
}
public static void Begin()
{
var parameters = new ConfiguredNeuralNetworkParameters
{
InputInterfaceLength = test.InputSize,
OutputInterfaceLength = test.OutputSize,
MaxConnectionIndex = 24,
ConnectionCountRange = IntRange.CreateInclusive(36, 72),
FeedForward = true,
ActivationFunction = new LinearActivationFunction(2.0),
Test = test,
FunctionalErrorTreshold = 0.001
};
var factory = new ConfiguredNeuralNetworkBodyFactory(parameters);
factory.MutationParameters.MutationChunkSize = IntRange.CreateFixed(parameters.ConnectionCountRange.MaxValue);
factory.MutationParameters.CrossoverChunkSize = IntRange.CreateFixed(parameters.ConnectionCountRange.MaxValue);
factory.MutationParameters.PointMutationChance = 0.04;
factory.MutationParameters.DeletionMutationChance = 0.002;
factory.MutationParameters.DuplicationMutationChance = 0.002;
factory.MutationParameters.InsertionMutationChance = 0.002;
factory.MutationParameters.TranslocationMutationChance = 0.002;
factory.MutationParameters.InversionMutationChance = 0.002;
var population = new ConfiguredNeuralNetworkPopulation();
population.ChanceOfMigration = 0.1;
for (int idx = 0; idx < groupCount; idx++)
{
var group = new ConfiguredNeuralNetworkGroup(
factory,
groupSize);
//group.SelectionStrategy = new RandomSelectionStrategy();
population.Groups.Add(group);
}
var context = new GAContext(population);
context.BestBodyArrived += OnBestArrived;
context.Start();
Console.ReadKey();
context.Stop();
}
public static void Begin()
{
//var parameters = new AdjustedTestableNetworkParameters
//{
// Test = test,
// Network = NeuralArchitecture.CreateLayered(
// test.InputSize,
// test.OutputSize,
// () => new Synapse(),
// () => new ActivationNeuron(new LinearActivationFunction(1)),
// true,
// 20, 10)
//};
var parameters = new AdjustedTestableNetworkParameters
{
Test = test,
Network = NeuralArchitecture.CreateFullConnected(
test.InputSize,
test.OutputSize,
20,
() => new Synapse(),
() => new ActivationNeuron(new LinearActivationFunction(1)),
true)
};
var factory = new AdjustedNeuralNetworkBodyFactory(parameters);
factory.CrossoverChunkSize = IntRange.CreateFixed((parameters.Network.ConnectionCount + parameters.Network.NodeCount) / 2 - 1);
//factory.CrossoverChunkSize = new InclusiveRange(10, 10);
factory.PointMutationChance = 0.005;
var population = new AdjustedNeuralNetworkPopulation();
population.ChanceOfMigration = 0.1;
for (int idx = 0; idx < groupCount; idx++)
{
var group = new AdjustedNeuralNetworkGroup(
factory,
groupSize);
//group.SelectionStrategy = new RandomSelectionStrategy();
population.Groups.Add(group);
}
var context = new GAContext(population);
context.BestBodyArrived += OnBestArrived;
context.Start();
Console.ReadKey();
context.Stop();
}
