protected void Page_Load(object sender, EventArgs e)
{
GameField _field = new GameField();
if (!IsPostBack) // вызов метода POST, форма отправила свои данные на сервер
{
if (Session["field"] == null)
{
Initialisation newInit = new Initialisation();
_field = newInit.InitGame();
}
else
{
_field = (GameField)Session["field"];
}
}
else
{
_field = (GameField)Session["field"];
}
if (_field.IsWinTheGame())
{
string url = string.Format("~/Winner.aspx?time={0}&move={1}", lblTime.Text, Request.Cookies["countMove"].Value); // lblMoves.Text не сработало
Session.Clear();
DeleteCookies();
Request.Cookies["countMove"].Value = "0";
Response.Redirect(url);
}
PrintField(_field);
}
protected override void OnCreate(Bundle savedInstanceState)
{
RequestWindowFeature(WindowFeatures.NoTitle);
BDD = new Initialisation();
BDD.DBConnection();
base.OnCreate(savedInstanceState);
CrossCurrentActivity.Current.Activity = this;
BDD.Table[] ListOfWeather = BDD.GetTable();
List<Table> CleanList = new List<Table>();
foreach(Table weather in ListOfWeather)
{
if (weather != null)
{
CleanList.Add(weather);
}
}
ListView.Adapter = new DisplayAdapter(this, CleanList);
ListView.Clickable = true;
ListView.DescendantFocusability = DescendantFocusability.BlockDescendants;
ListView.Focusable = false;
ListView.ItemClick += View_Click;
ListView.ItemSelected += ListView_ItemSelected;
ListView.ItemLongClick += ListView_ItemLongClick;
}
private void ReinitializePopulation(List <Representation> oldGeneration, int membersToReplace)
{
// 1.) pick up unique elite members and remove them from current population
List <Representation> newGeneration = new List <Representation>();
List <Representation> eliteMembers = UniqueEliteSelection(oldGeneration.Count / 5 < 6 ? 6 : oldGeneration.Count / 10, oldGeneration);
foreach (Representation representation in eliteMembers)
{
Representation member = oldGeneration.Find(item => item.Values.SequenceEqual(representation.Values));
oldGeneration.Remove(member);
}
// 2.) randomly initialise new initialPopulationCount/2 members
Initialisation initialisation = new Initialisation(membersToReplace < oldGeneration.Count - eliteMembers.Count ?
membersToReplace : oldGeneration.Count - eliteMembers.Count);
List <Path> newMembers = initialisation.GenerateInitialPopulation();
Decoder decoder = new Decoder();
List <Representation> switcherees = newMembers.Select(path => decoder.EncodePath(path)).ToList();
// 3.) shuffle remains of current population and replace the first half with new member
oldGeneration.Shuffle();
oldGeneration.RemoveRange(0, switcherees.Count);
oldGeneration.InsertRange(0, switcherees);
// 4.) append elite members
oldGeneration.InsertRange(0, eliteMembers);
}
private void onImageReceived(NetworkMessage netMsg)
{
var objectMessage = netMsg.ReadMessage <MyImageMessage>();
Sprite dim = Resources.Load <Sprite>(Partie.Langue + "/Dimension/" + objectMessage.dim);
Sprite loco = Resources.Load <Sprite>(Partie.Langue + "/Locomotion/" + objectMessage.loco);
Sprite equi1 = Resources.Load <Sprite>(Partie.Langue + "/Equipements/" + objectMessage.equi1);
Sprite equi2 = Resources.Load <Sprite>(Partie.Langue + "/Equipements/" + objectMessage.equi2);
Sprite equi3 = Resources.Load <Sprite>(Partie.Langue + "/Equipements/" + objectMessage.equi3);
int numero = objectMessage.num;
int z = objectMessage.zone;
Sprite[] images = new Sprite[5];
images[0] = loco;
images[1] = dim;
images[2] = equi1;
images[3] = equi2;
images[4] = equi3;
foreach (Joueur j in Partie.Joueurs)
{
if (j.Numero == numero)
{
j.Dim = dim;
j.Loco = loco;
j.Equi1 = equi1;
j.Equi2 = equi2;
j.Equi3 = equi3;
}
}
Initialisation.get(images, z);
}
public void RealizeEvolution()
{
Initialisation initialisation = new Initialisation(initialPopulationCount);
// Initialisation - validated
List <Path> population = initialisation.GenerateInitialPopulation();
for (int i = 0; i < population.Count; i++)
{
if (StaticOperations.ValidatePath(population[i]) == false)
{
throw new NotSupportedException();
}
}
// Evaluation
Evaluation evaluation = new Evaluation();
evaluation.EvaluatePopulation(population);
// Encoding
List <Representation> representations = new List <Representation>();
Decoder decoder = new Decoder();
foreach (Path path in population)
{
Representation representation = decoder.EncodePath(path);
representations.Add(representation);
}
// Evolution cycle
for (int i = 0; i < evolutionCycles; i++)
{
// Selection
Selection selection = new Selection(parentsCount, representations);
List <Representation> parents = selection.SelectParents();
// Genetic operator - validated
GeneticOperator geneticOperator = new GeneticOperator(descendantsCount, parents);
List <Representation> descendants = geneticOperator.GenerateDescendants();
// Decoding
List <Path> descendantPaths = new List <Path>();
foreach (Representation representation in descendants)
{
Path path = decoder.DecodeRepresentation(representation);
if (StaticOperations.ValidatePath(path) == false)
{
throw new NotSupportedException();
}
descendantPaths.Add(path);
}
// Evaluation
evaluation.EvaluatePopulation(descendantPaths);
for (int j = 0; j < descendants.Count; j++)
{
descendants[j].Fitness = descendantPaths[j].Fitness;
}
// Replacement
Replacement replacement = new Replacement(parents, descendants, initialPopulationCount);
representations = replacement.NextGeneration();
// Save to export file
SaveTwoBestMembers(representations);
}
}
public void Simple_Left_Rotation_Check()
{
Initialisation roverDemo = new Initialisation();
roverDemo.FacingDirection = "E";
roverDemo.ComputePosition("L");
Assert.Equal("N", roverDemo.FacingDirection);
}
public void Constructor_and_Getter_Check()
{
Initialisation roverDemo = new Initialisation();
Assert.Equal(0, roverDemo.LimitX);
Assert.Equal(0, roverDemo.LimitY);
Assert.Equal(0, roverDemo.CurrX);
Assert.Equal(0, roverDemo.CurrY);
Assert.Equal("N", roverDemo.FacingDirection);
}
private void Window_Loaded(object sender, RoutedEventArgs e)
{
Gui.webBrowser = webBrowserEditor;
Gui.htmlEditor = HtmlEditor1;
Initialisation.webeditor = this;
Gui.newdocument();
Initialisation.RibbonComboboxFontsInitialisation();
Initialisation.RibbonComboboxFontSizeInitialisation();
Initialisation.RibbonComboboxFormatInitionalisation();
}
void IDirectionTests.Motion_Check()
{
Initialisation roverDemo = new Initialisation();
roverDemo.FacingDirection = "W";
roverDemo.CurrX = 2;
roverDemo.CurrY = 3;
roverDemo.LimitX = 100;
roverDemo.LimitY = 100;
roverDemo.ComputePosition("M");
Assert.Equal(1, roverDemo.CurrX);
}
void IDirectionTests.Motion_Check()
{
Initialisation roverDemo = new Initialisation();
roverDemo.FacingDirection = "E";
roverDemo.CurrX = 2;
roverDemo.CurrY = 3;
roverDemo.LimitX = 100;
roverDemo.LimitY = 100;
roverDemo.ComputePosition("M");
Assert.Equal(3, roverDemo.CurrX);
throw new NotImplementedException();
}
public void OnLocationChanged(Location p_location)
{
if (p_location != null)
{
Localisation location = new Localisation();
location.Latitude = (float )p_location.Latitude;
location.Longitude = (float)p_location.Longitude;
Initialisation BDD = new Initialisation();
BDD.DBConnection();
BDD.BDDConnection.InsertOrIgnore(location);
BDD.BDDConnection.Close();
}
}
private void UserControl_Loaded(object sender, RoutedEventArgs e)
{
Gui.webBrowser = webBrowserEditor;
Gui.htmlEditor = HtmlEditor1;
Initialisation.webeditor = this;
Gui.newdocument();
// Gui.webBrowser.newWb(CollItem.HTMLtext);
Initialisation.RibbonComboboxFontsInitialisation();
Initialisation.RibbonComboboxFontSizeInitialisation();
// Initialisation.RibbonComboboxFormatInitionalisation();
}
public PrivateSchool()
{
Console.WriteLine("Welcome to private school PC Education\nLet's get the data for this semester");
syntheticData = CommandPromtUtilities.SyntheticData();
this._courses = Initialisation.SetUpCourses();
this._trainers = Initialisation.SetUpTrainers();
this._courseclasses = Initialisation.SetUpClasses(this._courses, this._trainers);
Console.WriteLine("\nSemester was organised succesfully!\n");
CommandPromtOutput.OutputMenu(this._courses, this._trainers, this._courseclasses);
}
public void Setter_Check()
{
Initialisation roverDemo = new Initialisation();
roverDemo.LimitX = 180;
roverDemo.LimitY = 400;
roverDemo.FacingDirection = "S";
roverDemo.CurrX = 0;
roverDemo.CurrY = 0;
Assert.Equal(180, roverDemo.LimitX);
Assert.Equal(400, roverDemo.LimitY);
Assert.Equal(0, roverDemo.CurrX);
Assert.Equal(0, roverDemo.CurrY);
Assert.Equal("S", roverDemo.FacingDirection);
}
private void ShowProgressDialogAsync()
{
Thread progressAsync = new Thread(new Runnable(ActionHandler));
progressAsync.Start();
Initialisation init = new Initialisation();
GlobalData.ContactItems = init.RetrieveAllContacts(BaseContext);
//progressAsync.Stop();
progressAsync.Dispose();
_updatingContacts.Dismiss();
_updatingContacts = null;
Add();
}
/// <summary>
/// Retourne l'action correspondant à cette instruction.
/// </summary>
public override Action <Context> GetAction()
{
Action <Context> action = delegate(Context context)
{
var updateAction = Update.GetAction();
for (Initialisation.GetAction()(context); (bool)Condition.GetValue(context); updateAction(context))
{
object val = Block.Execute(context);
// Si le block a effectué return :
if (Block.HasReturned)
{
HasReturned = true;
ReturnValue = val;
}
}
};
return(action);
}
/* Peut etre execute en synchrone car recupere uste la position*/
public void GetLocationAsync(String p_Provider)
{
LocationManager l_LocationManager = GetLocationManager();
Initialisation BDD = new Initialisation();
BDD.DBConnection();
var locationCriteria = new Criteria
{
Accuracy = Accuracy.Fine,
PowerRequirement = Power.Medium
};
var locationProvider = l_LocationManager.GetBestProvider(locationCriteria, true);
l_LocationManager.RequestLocationUpdates(p_Provider, MIN_TIME_FOR_UPDATE, MIN_DISTANCE_FOR_UPDATE, locationListener);
var GPSEnabled = l_LocationManager.IsProviderEnabled(p_Provider);
if (GPSEnabled)
{
if (l_LocationManager != null)
{
Localisation location = new Localisation();
Location p_location = getLastKnownLocation();
if (p_location != null)
{
BDD.BDDConnection.DeleteAll <Localisation>();
location.Latitude = (float)p_location.Latitude;
location.Longitude = (float)p_location.Longitude;
BDD.BDDConnection.InsertOrIgnore(location);
}
}
}
else
{
Toast.MakeText(this, "GPS is disabled. It is required for the first start and to update position.", ToastLength.Long).Show();
}
BDD.BDDConnection.Close();
return;
}
public CourseClass(Course course, List <Trainer> trainers)
{
this.Title = course.Title;
this.Stream = course.Stream;
this.Type = course.Type;
this.StartDate = course.StartDate;
this.EndDate = course.EndDate;
this._trainers = Initialisation.AssignTrainers(trainers, this.Stream, this.Type);
this._assignments = Initialisation.SetUpAssignments(this.Type);
this._students = Initialisation.SetUpStudents(this.Stream, this.Type);
foreach (var item in this._students)
{
foreach (var item2 in this._assignments)
{
item.Assignments.Add(item2);
}
}
}
public static Localisation GetLocation()
{
Initialisation BDD = new Initialisation();
BDD.DBConnection();
TableQuery <Localisation> LocationList = BDD.BDDConnection.Table <Localisation>();
Localisation Location = null;
if (LocationList.Count() != 0)
{
Location = LocationList.First();
}
BDD.BDDConnection.Close();
return(Location);
}
void Start()
{
databaseAccess = FindObjectOfType <DatabaseScript>();
variableAccess = FindObjectOfType <Initialisation>();
interfaceScriptAccess = FindObjectOfType <InterfaceScript>();
}
public static void ThreadTaskInitialisation(Context baseContext)
{
Initialisation init = new Initialisation();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising MoodList array...");
init.CreateMoodListArray(Context);
Log.Info(TAG, "ThreadTaskInitialisation: Forcing first time use of Database");
Globals dbHelp = new Globals();
dbHelp.OpenDatabase();
dbHelp.CloseDatabase();
//early setup for settings
GetAllApplicationSettings();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising MoodList...");
if (MoodlistArray.Length > 0)
{
//does the length match what the constant says it should be
if (MoodlistArray.Length != ConstantsAndTypes.MAX_NUMBER_OF_MOODLIST_ITEMS)
{
//if there is a difference in length then recreate the array
init.CreateMoodListArray(Context);
Log.Info(TAG, "ThreadTaskInitialisation: Recreating Mood List array because array length (" + MoodlistArray.Length.ToString() + ") is not the same as the defined constant (" + ConstantsAndTypes.MAX_NUMBER_OF_MOODLIST_ITEMS.ToString() + ")");
}
else
{
Log.Info(TAG, "ThreadTaskInitialisation: MoodList array has a length that agrees with the defined constant (" + ConstantsAndTypes.MAX_NUMBER_OF_MOODLIST_ITEMS.ToString() + ")");
}
}
else
{
//we need to recreate it anyway
init.CreateMoodListArray(Context);
Log.Info(TAG, "ThreadTaskInitialisation: Creating Mood List array from scratch");
}
Log.Info(TAG, "ThreadTaskInitialisation: Creating Mood List...");
init.CreateMoodList();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Achievement Chart Types...");
init.CreateAchievementChartTypes(Context);
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Colour List...");
init.CreateColourList();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Medication Types...");
init.CreateMedicationTypes(baseContext);
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Medication List...");
init.CreateMedicationList(baseContext);
Log.Info(TAG, "ThreadTaskInitialisation: Building list of Contacts...");
//Cannot do this if the user has not given permission yet!
if (PermissionsHelper.HasPermission(Context, ConstantsAndTypes.AppPermission.ReadContacts) &&
PermissionsHelper.PermissionGranted(Context, ConstantsAndTypes.AppPermission.ReadContacts))
{
ContactItems = init.RetrieveAllContacts(baseContext);
}
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Emergency Contacts...");
init.RetrieveEmergencyContacts(baseContext);
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Tell Myself items...");
init.RetrieveAllTellMyselfEntries();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Generic Text items...");
init.RetrieveAllGenericTextEntries();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Safety Plan Card items...");
init.RetrieveAllSafetyPlanCardEntries();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Medication list items...");
init.RetrieveMedicationList();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Activity list for current week...");
init.RetrieveActivitesForCurrentWeek();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Reactions List...");
init.RetrieveAllReactions();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Feelings List...");
init.RetrieveAllFeelings();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Attitudes List...");
init.RetrieveAllAttitudes();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Relationships List...");
init.RetrieveAllRelationships();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Health List...");
init.RetrieveAllHealth();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Fantasies List...");
init.RetrieveAllFantasies();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Problems List...");
init.RetrieveAllProblems();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Solution Plan List...");
init.RetrieveAllSolutionPlans();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Affirmation List...");
init.RetrieveAllAffirmations();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving Images List...");
init.RetrieveAllImages();
Log.Info(TAG, "ThreadTaskInitialisation: Retrieving PlayLists List...");
init.RetrieveAllPlayLists();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Appointment Types");
init.CreateAppointmentTypes(Context);
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Resource Medication Types");
init.RetrieveAllResourceMedicationTypes();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Resource Conditions");
init.RetrieveAllResourceConditions();
Log.Info(TAG, "ThreadTaskInitialisation: Initialising Settings");
init.RetrieveAllSettings();
init.GetErrorAlertShowSetting();
AchievementChartItems = new List <AchievementChart>();
}
public void RealizeEvolution()
{
Random random = new Random();
Initialisation initialisation = new Initialisation(initialPopulationCount);
// Initialisation - validated
List <Path> population = initialisation.GenerateInitialPopulation();
for (int i = 0; i < population.Count; i++)
{
if (StaticOperations.ValidatePath(population[i]) == false)
{
throw new NotSupportedException();
}
}
// Evaluation
Evaluation evaluation = new Evaluation();
evaluation.EvaluatePopulation(population);
// Encoding
List <Representation> representations = new List <Representation>();
Decoder decoder = new Decoder();
foreach (Path path in population)
{
Representation representation = decoder.EncodePath(path);
representations.Add(representation);
}
// Evolution cycle
for (int i = 0; i < evolutionCycles; i++)
{
Console.Write("Epoch #" + i + ".");
// Reinitialisation happens every 1/10th iteration and randomly resets half of population
// Elite 10% is untouched by this process
if ((i % 500) == 0 && i != 0)
{
ReinitializePopulation(representations, (int)(3 * initialPopulationCount / 4));
}
// Remap fitness using exponential remapping
//RemapFitness(representations, remapParameter);
// Selection
Selection selection = new Selection(parentsCount, representations);
List <Representation> parents = selection.SelectParents();
//List<Representation> parents = selection.SelectCombinedParents();
// Genetic operator - validated
GeneticOperator geneticOperator = new GeneticOperator(descendantsCount, parents);
List <Representation> descendants = geneticOperator.GenerateDescendants();
// Decoding
List <Path> descendantPaths = new List <Path>();
foreach (Representation representation in descendants)
{
Path path = decoder.DecodeRepresentation(representation);
if (StaticOperations.ValidatePath(path) == false)
{
throw new NotSupportedException();
}
descendantPaths.Add(path);
}
// Evaluation
evaluation.EvaluatePopulation(descendantPaths);
for (int j = 0; j < descendants.Count; j++)
{
descendants[j].Fitness = descendantPaths[j].Fitness;
}
// Revaluate current population after fitness remapping
//List<Path> currentPaths = new List<Path>();
//foreach (Representation representation in representations)
//{
// Path path = decoder.DecodeRepresentation(representation);
// currentPaths.Add(path);
//}
//evaluation.EvaluatePopulation(currentPaths);
//for (int j = 0; j < representations.Count; j++)
//{
// representations[j].Fitness = currentPaths[j].Fitness;
//}
// Replacement
Replacement replacement = new Replacement(representations, descendants, initialPopulationCount);
//representations = replacement.GenerationReplacement();
//representations = replacement.NextGeneration();
representations = replacement.DuplicationElimination(7, representations.Count / 20 < 3 ? representations.Count / 20 : 3, 20);
Console.Write(" Maximum fitness: " + representations.Max(item => item.Fitness));
// Save to export file
SaveSixBestMembers(representations);
}
}
public void RealiseEvolution()
{
// Initialise population
Initialisation initialisation = new Initialisation(initialPopulationCount, goldFieldCount);
List <Individual> population = initialisation.InitialisePopulation();
// Validate population
for (int i = 0; i < population.Count; i++)
{
if (StaticOperations.ValidateIndividual(population[i]) == false)
{
throw new NotSupportedException();
}
}
// Evaluate population
Evaluation evaluation = new Evaluation();
for (int i = 0; i < population.Count; i++)
{
evaluation.EvaluateIndividual(population[i]);
}
// Evolution cycle
for (int i = 0; i < evolutionCycles; i++)
{
Console.Write("# Epoch " + (i + 1));
// Selection
Selection selection = new Selection(population, population.Count);
// Q tournament
List <Individual> parents = selection.SelectParents(4);
// Genetic operators
List <Individual> descendants = new List <Individual>();
GeneticOperators geneticOperators = new GeneticOperators();
for (int j = 0; j < parents.Count; j = j + 2)
{
descendants.AddRange(geneticOperators.GenerateDescendants(parents[j], parents[j + 1]));
}
// Evaluation
for (int j = 0; j < descendants.Count; j++)
{
evaluation.EvaluateIndividual(descendants[j]);
}
// Replacement
Replacement replacement = new Replacement(population, descendants, population.Count);
if (i - bestFitnessEpoch < 100)
{
population = replacement.NextGeneration();
}
else
{
population = replacement.KillBestIndividuals();
bestFitness = double.MaxValue;
}
foreach (Individual individual in population)
{
if (StaticOperations.ValidateIndividual(individual) == false)
{
throw new NotSupportedException();
}
}
// Save best member
List <Individual> orderedPopulation = population.OrderBy(ind => ind.Fitness).ToList();
bestIndividualsPerGeneration.Add(orderedPopulation[0]);
Console.WriteLine(" Minimum fitness: " + orderedPopulation[0].Fitness + ".");
if (orderedPopulation[0].Fitness < bestFitness)
{
bestFitness = orderedPopulation[0].Fitness;
bestFitnessEpoch = i;
}
if (orderedPopulation[0].Fitness == 0)
{
break;
}
}
SaveDataToFile();
}
public void RealiseEvolution()
{
// Initialise population - validated
Initialisation initialisation = new Initialisation(initialPopulationCount);
List <Individual> population = initialisation.GenerateInitialPopulation();
foreach (Individual individual in population)
{
if (StaticOperations.ValidateIndividual(individual) == false)
{
throw new NotSupportedException();
}
}
// Evaluate synthethic fitness of population
Evaluation evaluation = new Evaluation(firstCriteria, secondCriteria, thirdCriteria);
foreach (Individual individual in population)
{
// Only criteria with true value will be considered
evaluation.EvaluateIndividual(individual);
}
//Evolution cycles
for (int i = 0; i < evolutionCycles; i++)
{
Console.Write("Epoch #" + i);
// Selection - q-tournament
Selection selection = new Selection(population, initialPopulationCount);
List <Individual> parents = selection.SelectParents(2);
// Genetic operators
List <Individual> descendants = new List <Individual>();
GeneticOperators geneticOperators = new GeneticOperators();
for (int j = 0; j < parents.Count; j = j + 2)
{
descendants.AddRange(geneticOperators.GenerateDescendants(parents[j], parents[j + 1]));
}
// Evaluation
foreach (Individual individual in descendants)
{
// Only criteria with true value will be considered
evaluation.EvaluateIndividual(individual);
}
// Replacement
Replacement replacement = new Replacement(population, descendants, initialPopulationCount);
population = replacement.NextGeneration();
// Save best individual
if (firstCriteria)
{
List <Individual> paretSetSurvivors = population.Where(ind => ind.Fitness == 1 && ind.FitnessVector[0] == 1).ToList();
if (paretSetSurvivors.Count == 0)
{
bestIndividuals.Add(population[0]);
}
else
{
paretSetSurvivors.Shuffle();
bestIndividuals.Add(paretSetSurvivors[0]);
}
Console.WriteLine(" Paret set count: " + EvaluateParetSet(population));
}
else
{
List <Individual> paretSetSurvivors = population.Where(ind => ind.Fitness == 1).ToList();
paretSetSurvivors.Shuffle();
bestIndividuals.Add(paretSetSurvivors[0]);
Console.WriteLine(" Paret set count: " + EvaluateParetSet(population));
}
}
SaveBestIndividualsInFile();
}
private void onImageReceived(NetworkMessage netMsg)
{
var objectMessage = netMsg.ReadMessage <MyImageMessage>();
string dim = objectMessage.dim;
string loco = objectMessage.loco;
string equi1 = objectMessage.equi1;
string equi2 = objectMessage.equi2;
string equi3 = objectMessage.equi3;
int numero = objectMessage.num;
int z = objectMessage.zone;
string s = "";
for (int i = 0; i < dim.Length - 21; i++)
{
s = s + dim[i];
}
Debug.Log(s);
dim = s;
s = "";
for (int i = 0; i < loco.Length - 21; i++)
{
s = s + loco[i];
}
Debug.Log(s);
loco = s;
s = "";
for (int i = 0; i < equi1.Length - 21; i++)
{
s = s + equi1[i];
}
Debug.Log(s);
equi1 = s;
s = "";
for (int i = 0; i < equi2.Length - 21; i++)
{
s = s + equi2[i];
}
Debug.Log(s);
equi2 = s;
s = "";
for (int i = 0; i < equi3.Length - 21; i++)
{
s = s + equi3[i];
}
Debug.Log(s);
equi3 = s;
Sprite[] images = new Sprite[5];
images[0] = Resources.Load <Sprite>("image/Locomotion/" + loco);
images[1] = Resources.Load <Sprite>("image/Dimension/" + dim);
images[2] = Resources.Load <Sprite>("image/Equipements/" + equi1);
images[3] = Resources.Load <Sprite>("image/Equipements/" + equi2);
images[4] = Resources.Load <Sprite>("image/Equipements/" + equi3);
Joueur j = new Joueur();
j.Dim = images[1];
j.Loco = images[0];
j.Equi1 = images[2];
j.Equi2 = images[3];
j.Equi3 = images[4];
j.Numero = numero;
j.Position = z;
Partie.AddPlayer(j);
Initialisation.get(images, z);
}
public void Correctness_VerifyConnectionString()
{
string connection = Initialisation.InitConfiguration().GetConnectionString("DefaultConnectionString");
Assert.AreEqual("SERVER=(local);DATABASE=SampleDB;Integrated Security=true;Connection Timeout=30;", connection);
}
public void RealiseEvolution()
{
// Initialisation
ReferenceList referenceList = new ReferenceList("tsp.riesenia");
Initialisation initialisation = new Initialisation(initialPopulationCount, referenceList);
List <Individual> population = initialisation.InitialisePopulation();
// Evaluation
Evaluation evaluation = new Evaluation(referenceList);
foreach (Individual individual in population)
{
evaluation.EvaluateIndividual(individual);
}
// Validation
foreach (Individual individual in population)
{
if (StaticOperations.ValidateIndividual(individual) == false)
{
throw new NotSupportedException();
}
}
// Evolution cycles
for (int i = 0; i < evolutionCycles; i++)
{
Console.Write("Epoch #" + i);
// Selection
Selection selection = new Selection(population, population.Count);
List <Individual> parents = selection.SelectParents(2);
// Genetic operators
GeneticOperators geneticOperators = new GeneticOperators();
List <Individual> descendants = new List <Individual>();
for (int j = 0; j < parents.Count; j = j + 2)
{
descendants.AddRange(geneticOperators.GenerateDescendants(parents[j], parents[j + 1]));
}
// Validation
foreach (Individual individual in descendants)
{
if (StaticOperations.ValidateIndividual(individual) == false)
{
throw new NotSupportedException();
}
}
// Evaluation
foreach (Individual individual in descendants)
{
evaluation.EvaluateIndividual(individual);
}
// Replacement
Replacement replacement = new Replacement(population, descendants, population.Count);
population = replacement.NextGeneration();
// Save best individual
List <Individual> orderedPopulation = population.OrderBy(item => item.Fitness).ToList();
bestIndividualPerGeneration.Add(orderedPopulation[0]);
Console.WriteLine(" Minimum fitness: " + orderedPopulation[0].Fitness);
}
SaveBestIndividualsToFile(referenceList);
}
public void OnEnable()
{
Initialisation.Start();
actions = Controls.actions;
//Debug.Log("ACTION0!");
//Debug.Log(actions[0]);
//Debug.Log("ACTION0\\!");
foreach (Action a in actions)
{
//Debug.Log("ACTION!");
try
{
actionByCategory[a.category.name].Add(a);
}
catch (KeyNotFoundException e)
{
List <Action> l = new List <Action> {
a
};
actionByCategory.Add(a.category.name, l);
categories.Add(new Category(a.category.name, a.category.description));
}
}
GameObject mainControlMenu = CreateMenu();
//mainControlMenu.transform.SetAsFirstSibling();
mainControlMenu.transform.SetParent(transform.parent);
mainControlMenu.transform.localPosition = new Vector2(0, 0);
mainControlMenu.name = "Menu Control";
ControlOption.menu = mainControlMenu;//new
GameObject selected = mainControlMenu.GetComponent <Menu>().selected;
for (int k = 0; k < categories.Count; k++)
{
Category c = categories[k];
GameObject catMenu = CreateMenuCategory(actionByCategory[c.name]);
catMenu.name = "Menu " + actionByCategory[c.name][0].category;
GameObject catOption = CreateOptionCategory(actionByCategory[c.name], catMenu);
catOption.transform.SetParent(mainControlMenu.transform);
catOption.name = "Option " + actionByCategory[c.name][0].category;
//catMenu.transform.SetAsFirstSibling();
catMenu.transform.SetParent(transform.parent);
catMenu.transform.localPosition = k * sep * Vector2.down;
if (selected.transform.parent == null)
{
//selected.transform.SetParent(catMenu.transform, false);
selected.transform.parent = catMenu.transform;//MODIFIED
selected.transform.localPosition = Vector2.zero;
}
//Debug.Log("Aah");
}
gameObject.AddComponent <Controls>();
}
public void RealiseEvolution()
{
// Initialisation
Initialisation initialisation = new Initialisation(initialPopulationCount, scale);
List <Individual> population = initialisation.GenerateInitialPopulation();
// Validation
foreach (Individual representation in population)
{
if (StaticOperations.ValidateIndividual(representation) == false)
{
throw new NotSupportedException();
}
}
// Evaluation
Evaluation evaluation = new Evaluation(scale);
foreach (Individual representation in population)
{
evaluation.EvaluateIndividual(representation);
}
// Evolution cycles
for (int i = 0; i < evolutionCycles; i++)
{
Console.Write("Epoch #" + i + " ");
// Selection
Selection selection = new Selection(initialPopulationCount, population);
List <Individual> parents = selection.SelectParents(2);
// Genetic operators
List <Individual> descendants = new List <Individual>();
GeneticOperators geneticOperators = new GeneticOperators(scale);
for (int j = 0; j < parents.Count; j = j + 2)
{
descendants.AddRange(geneticOperators.GenerateDescendants(parents[j], parents[j + 1]));
}
// Evaluation
foreach (Individual representation in descendants)
{
evaluation.EvaluateIndividual(representation);
}
// Validation
foreach (Individual representation in population)
{
if (StaticOperations.ValidateIndividual(representation) == false)
{
throw new NotSupportedException();
}
}
// Replacement
Replacement replacement = new Replacement(population, descendants, initialPopulationCount);
population = replacement.NextGeneration();
List <Individual> orderedPopulation = population.OrderBy(item => item.Fitness).ToList();
Console.WriteLine("Best individual has fitness: " + orderedPopulation[0].Fitness);
}
SaveBestIndividualIntoFile(population[0]);
}
