public int CalculateScore(IEnumerable <int> customerOrder, bool showResults)
{
var input = new BasicMLData(1);
input[0] = 1;
IMLData output = _network.Compute(input);
var logOutput = new List <LogisticSimulatorOutput>();
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Retailer_Min", Value = Convert.ToInt32(min.DeNormalize(output[0]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Retailer_Max", Value = Convert.ToInt32(max.DeNormalize(output[1]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "WholeSaler_Min", Value = Convert.ToInt32(min.DeNormalize(output[2]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "WholeSaler_Max", Value = Convert.ToInt32(max.DeNormalize(output[3]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Distributor_Min", Value = Convert.ToInt32(min.DeNormalize(output[4]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Distributor_Max", Value = Convert.ToInt32(max.DeNormalize(output[5]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Factory_Min", Value = Convert.ToInt32(min.DeNormalize(output[6]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Factory_Max", Value = Convert.ToInt32(max.DeNormalize(output[7]))
});
logOutput.Add(new LogisticSimulatorOutput()
{
Name = "Factory_Units_Per_Day", Value = Convert.ToInt32(units.DeNormalize(output[8]))
});
sim.Start(logOutput, customOrders: customerOrder);
if (showResults)
{
ShowResults(logOutput);
}
int score = Convert.ToInt32(sim.SumAllCosts());
return(score);
}
public void LogisticTrain()
{
Console.WriteLine("\nRLM network settings:");
int sessions = Util.GetInput("\nEnter Number of Session [default 100]: ", 100); //Gets user input for the number of tries the game will play
int startRand = Util.GetInput("Enter Start Randomness [default 100]: ", 100); //Gets user input for start randomness
int endRand = Util.GetInput("Enter End Randomness [default 0]: ", 0); //Gets user input for end randomness
var dbName = $"RLM_logistic_" + Guid.NewGuid().ToString("N");
var networkName = "Logicstics Network";
LogisticSimulator simulator = null;
IEnumerable <int> customerOrders = LogisticInitialValues.CustomerOrders;
try
{
//IRlmDbData rlmDbData = new RlmDbDataPostgreSqlServer(dbName);
IRlmDbData rlmDbData = new RlmDbDataSQLServer(dbName);
RlmNetwork network = new RlmNetwork(rlmDbData); //Make an instance of rlm_network passing the database name as parameter
network.DataPersistenceComplete += Network_DataPersistenceComplete;
network.DataPersistenceProgress += Network_DataPersistenceProgress;
if (!network.LoadNetwork(networkName))
{
var inputs = new List <RlmIO>()
{
new RlmIO("X", typeof(Int32).ToString(), 1, 1, RlmInputType.Distinct),
};
double minFrom = LogisticInitialValues.PlayerMinRange[0];
double minTo = LogisticInitialValues.PlayerMinRange[1];
double maxFrom = LogisticInitialValues.PlayerMaxRange[0];
double maxTo = LogisticInitialValues.PlayerMaxRange[1];
var outputs = new List <RlmIO>()
{
new RlmIO("Retailer_Min", typeof(Int16).ToString(), minFrom, minTo),
new RlmIO("Retailer_Max", typeof(Int16).ToString(), maxFrom, maxTo),
new RlmIO("WholeSaler_Min", typeof(Int16).ToString(), minFrom, minTo),
new RlmIO("WholeSaler_Max", typeof(Int16).ToString(), maxFrom, maxTo),
new RlmIO("Distributor_Min", typeof(Int16).ToString(), minFrom, minTo),
new RlmIO("Distributor_Max", typeof(Int16).ToString(), maxFrom, maxTo),
new RlmIO("Factory_Min", typeof(Int16).ToString(), minFrom, minTo),
new RlmIO("Factory_Max", typeof(Int16).ToString(), maxFrom, maxTo),
new RlmIO("Factory_Units_Per_Day", typeof(Int16).ToString(), LogisticInitialValues.FactoryRange[0], LogisticInitialValues.FactoryRange[1]),
};
network.NewNetwork(networkName, inputs, outputs);
}
// execute it on another thread as not to block the RLM training
Console.WriteLine("\nPress 'd' to show Data persistence progress\n");
Task.Run(() =>
{
while (!Console.KeyAvailable && Console.ReadKey(true).Key == ConsoleKey.D)
{
showDataPersistProgress = true;
}
});
network.NumSessions = sessions; // num of sessioins default 100
network.StartRandomness = startRand;
network.EndRandomness = endRand;
simulator = new LogisticSimulator(LogisticInitialValues.StorageCost, LogisticInitialValues.BacklogCost, LogisticInitialValues.InitialInventory, LogisticInitialValues.InitialInventory, LogisticInitialValues.InitialInventory, LogisticInitialValues.InitialInventory);
Stopwatch watch = new Stopwatch();
watch.Start();
Console.WriteLine("\n\nTraining:\n");
IEnumerable <LogisticSimulatorOutput> predictedLogisticOutputs = null;
network.ResetRandomizationCounter();
for (int i = 0; i < sessions; i++)
{
var sessId = network.SessionStart();
var inputs = new List <RlmIOWithValue>();
inputs.Add(new RlmIOWithValue(network.Inputs.First(), "1"));
var cycle = new RlmCycle();
var outputs = cycle.RunCycle(network, sessId, inputs, true);
var simOutputs = outputs.CycleOutput.Outputs
.Select(a => new LogisticSimulatorOutput()
{
Name = a.Name, Value = Convert.ToInt32(a.Value)
})
.ToList();
simulator.ResetSimulationOutput();
simulator.Start(simOutputs, 50, customerOrders);
network.ScoreCycle(outputs.CycleOutput.CycleID, 0);
var totalCosts = simulator.SumAllCosts();
network.SessionEnd(totalCosts);
Console.WriteLine($"Session #{i + 1} \t Score: {Math.Abs(totalCosts).ToString("$#,##0"),10}");
if (i == sessions - 1)
{
predictedLogisticOutputs = simOutputs;
}
}
watch.Stop();
Console.WriteLine("\nPredicted outputs:");
string resultText = "";
foreach (var item in predictedLogisticOutputs)
{
resultText += "\n" + item.Name + ": " + item.Value;
}
Console.WriteLine(resultText);
Console.WriteLine($"\nElapsed: {watch.Elapsed}");
network.TrainingDone();
}
catch (Exception e)
{
if (e.InnerException != null && e.InnerException is RlmDefaultConnectionStringException)
{
Console.WriteLine($"Error: {e.InnerException.Message}");
}
else
{
Console.WriteLine($"ERROR: {e.Message}");
}
}
Console.ReadLine();
}
