public void ColumnMutated(MutationType type, IFluentBaseColumn column)
{
_mutation.Add(new FluentMutation {
Type = type,
Column = column
});
}
public SingleTaskGeneticSolver(AdjacencyMatrix matrix, MutationType mutation, CrossoverType crossover, SelectionType selectionType, int populationSize, int MaxTime)
{
this.SolverTitle = "Single Thread Solver";
this.crossover = crossover;
this.matrix = matrix;
this.mutation = mutation;
maxPopulationSize = populationSize;
selector = selectionType;
rnd = new Random();
this.MaxTime = MaxTime;
results = new List <Candidate>();
time = new Stopwatch();
bestPerTwoMinutes = new List <Candidate>();
result = new Result(this);
minutes = 0;
}
protected override State Reduce(State state, MutationType <Mutation> mutation)
{
var newState = state;
switch (mutation._mutation)
{
case Mutation.INCREMENT:
newState.Counter++;
break;
case Mutation.DECREMENT:
newState.Counter--;
break;
}
return(newState);
}
private void MutateAgent(Agent a)
{
MutationType mutationToPerform = m_config.ChooseMutationType();
switch (mutationToPerform)
{
case MutationType.AddLink: a.NeuralNetwork.Mutator.MutateNewLink(); break;
case MutationType.AddNode: a.NeuralNetwork.Mutator.MutateNewNode(); break;
case MutationType.DeleteLink: a.NeuralNetwork.Mutator.MutateDeleteLink(); break;
case MutationType.DeleteNode: a.NeuralNetwork.Mutator.MutateDeleteNode(); break;
case MutationType.ModifyWeight: a.NeuralNetwork.Mutator.MutateWeight(); break;
}
}
protected void OnColumnMutated(MutationType type, IFluentBaseColumn column)
{
if (SupressChangeNotification)
{
return;
}
IFluentRecord record = Parent.SuperColumn == null ? (IFluentRecord)Parent.ColumnFamily : (IFluentRecord)Parent.SuperColumn;
record.MutationTracker.ColumnMutated(type, column);
if (CollectionChanged != null)
{
var action = type == MutationType.Added ? NotifyCollectionChangedAction.Add : (type == MutationType.Removed ? NotifyCollectionChangedAction.Remove : NotifyCollectionChangedAction.Replace);
CollectionChanged(this, new NotifyCollectionChangedEventArgs(action, column));
}
}
public override void PersistMutation(object entity, MutationType type, string path, object value)
{
var avatar = entity as Avatar;
using (var db = DAFactory.Get())
{
switch (path)
{
case "Avatar_Description":
db.Avatars.UpdateDescription(avatar.Avatar_Id, avatar.Avatar_Description);
break;
case "Avatar_PrivacyMode":
db.Avatars.UpdatePrivacyMode(avatar.Avatar_Id, avatar.Avatar_PrivacyMode);
break;
}
}
}
public virtual void ColumnMutated(MutationType type, IFluentBaseColumn column)
{
if (ParentRecord is FluentSuperColumn)
{
var superColumn = (FluentSuperColumn)ParentRecord;
var superColumnFamilyMutationTracker = superColumn.Family.MutationTracker;
// check to see if there is a mutation for this column already, so we don't create duplicate mutations
if (!superColumnFamilyMutationTracker.GetMutations().Any(x => x.Column.ColumnName == superColumn.ColumnName))
{
superColumnFamilyMutationTracker.ColumnMutated(MutationType.Changed, superColumn);
}
}
_mutation.Add(new FluentMutation {
Type = type,
Column = column
});
}
/// <summary>
/// metoda, która ustawia currentMutationType w zależności od stanu kontrolek
/// </summary>
private void UpdateCurrentMutationType()
{
if (checkBoxDisableMutation.Checked)
{
currentMutationType = MutationType.NONE;
}
else if (radioButtonConstantMutation.Checked)
{
currentMutationType = MutationType.CONSTANT;
}
else if (radioButtonPercentMutation.Checked)
{
currentMutationType = MutationType.PERCENT;
}
else if (radioButtonRandomMutation.Checked)
{
currentMutationType = MutationType.RANDOM;
}
}
public virtual void ColumnMutated(MutationType type, IFluentBaseColumn column)
{
if (ParentRecord is FluentSuperColumn) {
var superColumn = (FluentSuperColumn)ParentRecord;
if (superColumn.Family != null) {
var superColumnFamilyMutationTracker = superColumn.Family.MutationTracker;
// check to see if there is a mutation for this column already, so we don't create duplicate mutations
if (!superColumnFamilyMutationTracker.GetMutations().Any(x => x.Column.ColumnName == superColumn.ColumnName))
superColumnFamilyMutationTracker.ColumnMutated(MutationType.Changed, superColumn);
}
}
_mutation.Add(new FluentMutation {
Type = type,
Column = column
});
}
public GenomeSettings
(
int elitism,
float mutationRate,
FitnessScalingType scalingType,
ReproductionType reproductionType,
SelectionType selectionType,
MutationType mutationType,
CrossoverType crossoverType
)
{
this.elitism = elitism;
this.mutationRate = mutationRate;
this.scalingType = scalingType;
this.reproductionType = reproductionType;
this.selectionType = selectionType;
this.mutationType = mutationType;
this.crossoverType = crossoverType;
}
public override void DemandMutation(object entity, MutationType type, string path, object value, ISecurityContext context)
{
var neigh = entity as Neighborhood;
//currently, only admins can mutate neighborhoods
var volt = (context as VoltronSession);
if (volt == null)
{
throw new SecurityException("Neighborhoods cannot be mutated by non-voltron connections.");
}
using (var da = DAFactory.Get())
{
var mod = da.Avatars.GetModerationLevel(volt.AvatarId);
if (mod < 2)
{
throw new SecurityException("Neighborhoods can only be mutated by administrators.");
}
}
switch (path)
{
case "Neighborhood_Description":
var desc = value as string;
if (desc != null && desc.Length > 1000)
{
throw new Exception("Description too long!");
}
break;
case "Neighborhood_Name":
var name = value as string;
if (name != null && name.Length > 100)
{
throw new Exception("Name too long!");
}
break;
default:
throw new SecurityException("Field: " + path + " may not be mutated by users");
}
}
/// <summary>
/// Gets a list of concrete mutations for the mutation type specified
/// </summary>
/// <param name="mutationType"></param>
/// <returns></returns>
public static IEnumerable <Type> GetMutationList(MutationType mutationType)
{
foreach (Type type in AllAccessibleTypes)
{
if (type.IsAbstract)
{
continue;
}
if (type.GetCustomAttributes(typeof(MutationAttribute), true).Length > 0)
{
var meta = (MutationAttribute)type.GetCustomAttributes(typeof(MutationAttribute), true)[0];
if (meta.Type == mutationType)
{
yield return(type);
}
}
}
}
public static double GetChanceFor(MutationType type)
{
switch (type)
{
case MutationType.AddNode:
return(AddNewNode);
case MutationType.AddConnection:
return(AddNewConnection);
case MutationType.MutateWeight:
return(MutateWeight);
case MutationType.ChangeFunction:
return(ChangeNodeFunction);
default:
return(0.0);
}
}
private static NeatGenome MutateOfType(MutationType type, NeatGenome genome, Population population)
{
switch (type)
{
case MutationType.MutateWeight:
return(ChangeWeight(genome));
case MutationType.AddConnection:
return(AddConnection(genome, population));
case MutationType.AddNode:
return(AddNode(genome, population));
case MutationType.ChangeFunction: //and then maybe "mutateCurrentFunction type"
return(ChangeNodeFunction(genome));
default:
return(genome);
}
}
public static int CalculateMutations(MutationType mutationType, int mutationRateStart, int mutationRateEnd, int countOfChilds, int generationCount, int generation)
{
int initialMutationsByRate = countOfChilds * mutationRateStart / 100;
int endMutationsByRate = countOfChilds * mutationRateEnd / 100;
switch (mutationType)
{
case MutationType.konstant:
return(initialMutationsByRate);
case MutationType.linear:
return(initialMutationsByRate + ((endMutationsByRate - initialMutationsByRate) / generationCount) * generation);
case MutationType.exponentiel:
return((int)(initialMutationsByRate * Math.Pow((endMutationsByRate / initialMutationsByRate), (generation / generationCount))));
default:
return(0);
}
return(initialMutationsByRate);
}
public override void PersistMutation(object entity, MutationType type, string path, object value)
{
var neigh = entity as Neighborhood;
switch (path)
{
case "Neighborhood_Description":
using (var db = DAFactory.Get())
{
db.Neighborhoods.UpdateDescription(neigh.Id, neigh.Neighborhood_Description);
}
break;
case "Neighborhood_Name":
using (var db = DAFactory.Get())
{
db.Neighborhoods.UpdateName(neigh.Id, neigh.Neighborhood_Name);
}
break;
}
}
private NeatGenome <T>?Create(
NeatGenome <T> parent,
IRandomSource rng,
ref DiscreteDistribution mutationTypeDist)
{
// Determine the type of mutation to attempt.
MutationType mutationTypeId = (MutationType)DiscreteDistribution.Sample(rng, mutationTypeDist);
// Attempt to create a child genome using the selected mutation type.
NeatGenome <T>?childGenome = mutationTypeId switch
{
// Note. These subroutines will return null if they cannot produce a child genome,
// e.g. 'delete connection' will not succeed if there is only one connection.
MutationType.ConnectionWeight => _mutateWeightsStrategy.CreateChildGenome(parent, rng),
MutationType.AddNode => _addNodeStrategy.CreateChildGenome(parent, rng),
MutationType.AddConnection => _addConnectionStrategy.CreateChildGenome(parent, rng),
MutationType.DeleteConnection => _deleteConnectionStrategy.CreateChildGenome(parent, rng),
_ => throw new Exception($"Unexpected mutationTypeId [{mutationTypeId}]."),
};
if (childGenome is not null)
{
return(childGenome);
}
// The chosen mutation type was not possible; remove that type from the set of possible types.
mutationTypeDist = mutationTypeDist.RemoveOutcome((int)mutationTypeId);
// Sanity test.
if (mutationTypeDist.Probabilities.Length == 0)
{
// This shouldn't be possible, hence this is an exceptional circumstance.
// Note. Connection weight and 'add node' mutations should always be possible, because there should
// always be at least one connection.
throw new Exception("All types of genome mutation failed.");
}
return(null);
}
public void SwapShapes(Random rand)
{
int s1 = rand.Next(Shapes.Length);
Shape shape = Shapes[s1];
shape.PreviousState = shape.Clone() as Shape;
if (rand.Next(2) == 0)
{
int s2;
do
{
s2 = rand.Next(Shapes.Length);
} while (s1 == s2);
ShiftShapeIndex(s1, s2);
}
else
{
int s2 = rand.Next(Shapes.Length);
Shapes[s1] = Shapes[s2];
Shapes[s2] = shape;
}
LastMutation = MutationType.SwapShapes;
}
/// <summary>
/// Constructor with parameters.
/// </summary>
/// <param name="populationSize">The population size.</param>
/// <param name="encodingType">The encoding type used in the chromosome.</param>
/// <param name="selectionType">The selection type.</param>
/// <param name="crossoverType">The crossover type.</param>
/// <param name="mutationType">The mutation type.</param>
/// <param name="mutationRate">The mutation rate.</param>
/// <param name="elitisim">The elistism rate.</param>
/// <param name="stoppingCriteriaOptions">The stopping critieria options used to stop the algorithm from executing forever.
/// Optional if not specified, it will use the default which is set to an iteration threshold with maximum of 1000 iterations.</param>
public GAOptions(int populationSize, EncodingType encodingType, SelectionType selectionType, CrossoverType crossoverType, MutationType mutationType,
double mutationRate, double elitisim, StoppingCriteriaOptions stoppingCriteriaOptions = null)
{
PopulationSize = populationSize;
EncodingType = encodingType;
SelectionType = selectionType;
CrossoverType = crossoverType;
MutationType = mutationType;
MutationRate = mutationRate;
Elitism = elitisim;
if (stoppingCriteriaOptions == null)
{
// if not specified the GA will use an iteration based stopping criteria, set to a maximum iteration of 1000.
StoppingCriteriaOptions = new StoppingCriteriaOptions
{
StoppingCriteriaType = StoppingCriteriaType.SpecifiedIterations,
MaximumIterations = 1000
};
return;
}
StoppingCriteriaOptions = stoppingCriteriaOptions;
}
public RiskMatrix(Currency c1, Currency c2, MutationType shiftType, RiskMetric metric, double shiftStepSize1, double shiftStepSize2, int nScenarios, ICurrencyProvider currencyProvider, bool returnDifferential = true)
{
}
public override void DemandMutation(object entity, MutationType type, string path, object value, ISecurityContext context)
{
var lot = entity as Lot;
if (lot.DbId == 0)
{
throw new SecurityException("Unclaimed lots cannot be mutated");
}
var roomies = lot.Lot_RoommateVec;
switch (path)
{
//Owner only
case "Lot_Description":
context.DemandAvatar(lot.Lot_LeaderID, AvatarPermissions.WRITE);
var desc = value as string;
if (desc != null && desc.Length > 500)
{
throw new Exception("Description too long!");
}
break;
case "Lot_Name":
context.DemandAvatar(lot.Lot_LeaderID, AvatarPermissions.WRITE);
if (!GlobalRealestate.ValidateLotName((string)value))
{
throw new Exception("Invalid lot name");
}
//Lot_Name is a special case, it has to be unique so we have to hit the db in the security check
//for this mutation.
TryChangeLotName(lot, (string)value);
break;
case "Lot_Category":
context.DemandAvatar(lot.Lot_LeaderID, AvatarPermissions.WRITE);
if (lot.Lot_IsOnline)
{
throw new SecurityException("Lot must be offline to change category!");
}
//7 days
if (((Epoch.Now - lot.Lot_LastCatChange) / (60 * 60)) < 168)
{
throw new SecurityException("You must wait 7 days to change your lot category again");
}
break;
case "Lot_SkillGamemode":
context.DemandAvatar(lot.Lot_LeaderID, AvatarPermissions.WRITE);
var svalue = (uint)value;
uint minSkill;
if (!SkillGameplayCategory.TryGetValue((LotCategory)lot.Lot_Category, out minSkill))
{
minSkill = 0;
}
if (Math.Min(2, Math.Max(minSkill, svalue)) != svalue)
{
throw new SecurityException("Invalid gamemode for this category.");
}
if (lot.Lot_IsOnline)
{
throw new SecurityException("Lot must be offline to change skill mode!");
}
break;
//roommate only
case "Lot_Thumbnail":
context.DemandAvatars(roomies, AvatarPermissions.WRITE);
//TODO: needs to be generic data, png, size 288x288, less than 1MB
break;
case "Lot_IsOnline":
case "Lot_NumOccupants":
case "Lot_RoommateVec":
case "Lot_SpotLightText":
context.DemandInternalSystem();
break;
case "Lot_LotAdmitInfo.LotAdmitInfo_AdmitList":
case "Lot_LotAdmitInfo.LotAdmitInfo_BanList":
context.DemandAvatars(roomies, AvatarPermissions.WRITE);
int atype = (path == "Lot_LotAdmitInfo.LotAdmitInfo_AdmitList") ? 0 : 1;
using (var db = DAFactory.Get())
{ //need to check db constraints
switch (type)
{
case MutationType.ARRAY_REMOVE_ITEM:
//Remove bookmark at index value
var removedAva = (uint)value;
db.LotAdmit.Delete(new DbLotAdmit
{
lot_id = (int)lot.DbId,
avatar_id = removedAva,
admit_type = (byte)atype
});
break;
case MutationType.ARRAY_SET_ITEM:
//Add a new bookmark
var newAva = (uint)value;
db.LotAdmit.Create(new DbLotAdmit
{
lot_id = (int)lot.DbId,
avatar_id = newAva,
admit_type = (byte)atype
});
break;
}
}
break;
case "Lot_LotAdmitInfo.LotAdmitInfo_AdmitMode":
context.DemandAvatars(roomies, AvatarPermissions.WRITE);
//can only set valid values
var mode = (byte)value;
if (mode < 0 || mode > 3)
{
throw new Exception("Invalid admit mode!");
}
break;
default:
throw new SecurityException("Field: " + path + " may not be mutated by users");
}
}
/// <summary>
/// PlatformEntity mutation of a certain type
/// </summary>
/// <param name="entity">PlatformEntity the mutation acts on</param>
/// <param name="type">The type of mutation to occur</param>
public MutationAttribute(Type entity, MutationType type)
{
this.Entity = entity;
this.Type = type;
}
public MutationResult(MutationType mutationType, Dictionary <string, ExpressionResult> args) : base(null)
{
this.mutationType = mutationType;
this.gqlRequestArgs = args;
paramExp = Expression.Parameter(mutationType.ContextType);
}
public override void PersistMutation(object entity, MutationType type, string path, object value)
{
var lot = entity as Lot;
switch (path)
{
case "Lot_Description":
using (var db = DAFactory.Get())
{
db.Lots.UpdateDescription(lot.DbId, lot.Lot_Description);
}
break;
case "Lot_Thumbnail":
var imgpath = Path.Combine(NFS.GetBaseDirectory(), "Lots/" + lot.DbId.ToString("x8") + "/thumb.png");
var data = (cTSOGenericData)value;
using (var db = DAFactory.Get())
{
db.Lots.SetDirty(lot.DbId, 1);
}
using (FileStream fs = File.Open(imgpath, FileMode.Create, FileAccess.Write, FileShare.None))
{
fs.Write(data.Data, 0, data.Data.Length);
}
lot.Lot_Thumbnail = new cTSOGenericData(new byte[0]);
break;
case "Lot_Category":
uint minSkill;
if (!SkillGameplayCategory.TryGetValue((LotCategory)lot.Lot_Category, out minSkill))
{
minSkill = 0;
}
lot.Lot_SkillGamemode = Math.Min(2, Math.Max(minSkill, lot.Lot_SkillGamemode));
using (var db = DAFactory.Get())
{
db.Lots.UpdateLotCategory(lot.DbId, (LotCategory)(lot.Lot_Category), lot.Lot_SkillGamemode);
}
break;
case "Lot_SkillGamemode":
using (var db = DAFactory.Get())
{
db.Lots.UpdateLotSkillMode(lot.DbId, lot.Lot_SkillGamemode);
}
break;
case "Lot_IsOnline":
lock (CityRepresentation.City_ReservedLotInfo) CityRepresentation.City_ReservedLotInfo = CityRepresentation.City_ReservedLotInfo.SetItem(lot.Lot_Location_Packed, lot.Lot_IsOnline);
break;
case "Lot_SpotLightText":
lock (CityRepresentation)
{
var clone = new HashSet <uint>(CityRepresentation.City_SpotlightsVector); //need to convert this to a hashset to add to it properly
if (lot.Lot_SpotLightText != "")
{
clone.Add(lot.Lot_Location_Packed);
}
else
{
clone.Remove(lot.Lot_Location_Packed);
}
CityRepresentation.City_SpotlightsVector = ImmutableList.ToImmutableList(clone);
}
break;
case "Lot_LotAdmitInfo.LotAdmitInfo_AdmitMode":
using (var db = DAFactory.Get())
{
db.Lots.UpdateLotAdmitMode(lot.DbId, (byte)value);
}
break;
}
}
public virtual void DemandMutation(object entity, MutationType type, string path, object value, ISecurityContext context)
{
}
/// <summary>
/// 設定情報を表示します
/// </summary>
private void DisplaySettingInfo(ChromosomesType cht, SelectionType st, CrossOverType crt, MutationType mt, float mr, int size, int ittr)
{
SettingListBox.Items.Clear();
SettingListBox.Items.Add($"染色体タイプ: {cht}");
SettingListBox.Items.Add($"選択タイプ: {st}");
SettingListBox.Items.Add($"交叉タイプ: {crt}");
SettingListBox.Items.Add($"突然変異タイプ: {mt}");
SettingListBox.Items.Add($"突然変異率: {mr} [%]");
SettingListBox.Items.Add($"個体数: {size}");
SettingListBox.Items.Add($"最大世代数: {ittr}");
}
internal GeneticSolver createNewSolver(bool isMultiThread)
{
MutationType mutation = null;
CrossoverType crossover = null;
SelectionType selection = null;
GeneticSolver solver = null;//add parameters TO DO
AdjacencyMatrix matrix = new AdjacencyMatrix(tspXmlFile);
switch (mutationIndex)
{
case 0:
{
if (!isMultiThread)
{
mutation = new InversionMutation(mutationChance);
}
else
{
mutation = new MultiThreadInversionMutation(mutationChance);
}
break;
}
case 1:
{
if (!isMultiThread)
{
mutation = new TranspositionMutation(mutationChance);
}
else
{
mutation = new MultiThreadTranspositionMutation(mutationChance);
}
break;
}
}
switch (crossoverIndex)
{
case 0:
{
if (!isMultiThread)
{
crossover = new PMXCrossover(crossoverChance);
}
else
{
crossover = new MultiThreadPMXCrossover(crossoverChance); //new PMXCrossover(crossoverChance); //
}
break;
}
case 1:
{
if (!isMultiThread)
{
crossover = new OXCrossover(crossoverChance);
}
else
{
crossover = new MultiThreadOXCrossover(crossoverChance);
}
break;
}
}
switch (selectorIndex)
{
case 0:
{
if (!isMultiThread)
{
selection = new TournamentSelection(selectorSize);
}
else
{
selection = new MultiThreadTournamentSelection(selectorSize);
}
break;
}
case 1:
{
if (!isMultiThread)
{
selection = new RouletteSelection(selectorSize);
}
else
{
selection = new MultiThreadRouletteSelection(selectorSize);
}
break;
}
}
if (mutation != null && selection != null && crossover != null)
{
if (isMultiThread)
{
MultiTaskOptions.parallelOptCrossover.MaxDegreeOfParallelism = int.Parse(View.tbxLvlCrossover.Text);
MultiTaskOptions.parallelOptMutation.MaxDegreeOfParallelism = int.Parse(View.tbxLvlMutation.Text);
MultiTaskOptions.parallelOptSelection.MaxDegreeOfParallelism = int.Parse(View.tbxLvlSelector.Text);
solver = new MultiTaskGeneticSolver(matrix, mutation, crossover, selection, populationSize, timeMS);
}
else
{
solver = new SingleTaskGeneticSolver(matrix, mutation, crossover, selection, populationSize, timeMS);
}
}
return(solver);
}
public virtual void PersistMutation(object entity, MutationType type, string path, object value)
{
}
public ExperimentParameters(
int numberOfDimensions,
int basePopulationSize,
int offspringPopulationSize,
int numberOfGenerations,
int seed = EvolutionDefaults.Seed,
bool trackEvolutionSteps = EvolutionDefaults.TrackEvolutionSteps,
bool useRedundantConstraintsRemoving = Defaults.UseRedundantConstraintsRemoving,
bool useDataNormalization = Defaults.UseDataNormalization,
bool allowQuadraticTerms = Defaults.AllowQuadraticTerms,
bool useSeeding = Defaults.UseSeeding,
ISet <TermType> allowedTermsTypes = default(ISet <TermType>),
BenchmarkType typeOfBenchmark = Defaults.TypeOfBenchmark,
double ballnBoundaryValue = Defaults.BallnBoundaryValue,
double cubenBoundaryValue = Defaults.CubenBoundaryValue,
double simplexnBoundaryValue = Defaults.SimplexnBoundaryValue,
IList <Constraint> referenceConstraints = default(IList <Constraint>),
long numberOfDomainSamples = Defaults.NumberOfDomainSamples,
int numberOfTestPoints = Defaults.NumberOfTestPoints,
int numberOfPositivePoints = Defaults.NumberOfPositivePoints,
int numberOfNegativePoints = Defaults.NumberOfNegativePoints,
double defaultDomainLowerLimit = Defaults.DefaultDomainLowerLimit,
double defaultDomainUpperLimit = Defaults.DefaultDomainUpperLimit,
int maxNumberOfPointsInSingleArray = Defaults.MaxNumberOfPointsInSingleArray,
double globalLearningRate = double.NaN,
double individualLearningRate = double.NaN,
double stepThreshold = EvolutionDefaults.StepThreshold,
double rotationAngle = EvolutionDefaults.RotationAngle,
MutationType typeOfMutation = EvolutionDefaults.TypeOfMutation,
int numberOfParentsSolutionsToSelect = EvolutionDefaults.NumberOfParentsSolutionsToSelect,
ParentsSelectionType typeOfParentsSelection = EvolutionDefaults.TypeOfParentsSelection,
SurvivorsSelectionType typeOfSurvivorsSelection = EvolutionDefaults.TypeOfSurvivorsSelection,
int oneFifthRuleCheckInterval = EvolutionDefaults.OneFifthRuleCheckInterval,
double oneFifthRuleScalingFactor = EvolutionDefaults.OneFifthRuleScalingFactor,
bool useRecombination = EvolutionDefaults.UseRecombination,
RecombinationType typeOfObjectsRecombination = EvolutionDefaults.TypeOfObjectsRecombination,
RecombinationType typeOfStdDeviationsRecombination = EvolutionDefaults.TypeOfStdDeviationsRecombination,
RecombinationType typeOfRotationsRecombination = EvolutionDefaults.TypeOfRotationsRecombination)
{
if (typeOfBenchmark == BenchmarkType.Other && referenceConstraints == default(IList <Constraint>))
{
throw new ArgumentException("In case of choosing BenchmarkType = Other, it is obligatory to provide reference constraints.");
}
AllowedTermsTypes = allowedTermsTypes == default(ISet <TermType>)
? Defaults.AllowedTermsTypes
: allowedTermsTypes;
//HACK
//AllowedTermsTypes = new HashSet<TermType>
//{
// TermType.Linear,
// TermType.Quadratic
//};
//NumberOfConstraintsCoefficients = numberOfDimensions * AllowedTermsTypes.Count + 1;
NumberOfConstraintsCoefficients = typeOfBenchmark == BenchmarkType.Balln && allowQuadraticTerms
? numberOfDimensions * 2 + 1
: numberOfDimensions + 1;
//MaximumNumberOfConstraints = typeOfBenchmark == BenchmarkType.Other
// // ReSharper disable once PossibleNullReferenceException : It is checked before
// ? referenceConstraints.Count
// : GetMaximumNumberOfConstraints(numberOfDimensions, typeOfBenchmark, allowQuadraticTerms);
//MaximumNumberOfConstraints = GetMaximumNumberOfConstraints(numberOfDimensions, typeOfBenchmark,
// allowQuadraticTerms);
MaximumNumberOfConstraints = numberOfDimensions * numberOfDimensions;
var objectVectorSize = NumberOfConstraintsCoefficients * MaximumNumberOfConstraints;
NumberOfDimensions = numberOfDimensions;
EvolutionParameters = new EvolutionParameters(
objectVectorSize, basePopulationSize, offspringPopulationSize, numberOfGenerations, seed, trackEvolutionSteps,
oneFifthRuleCheckInterval, oneFifthRuleScalingFactor, numberOfParentsSolutionsToSelect, (int)typeOfParentsSelection, (int)typeOfSurvivorsSelection,
globalLearningRate, individualLearningRate, stepThreshold, rotationAngle, (int)typeOfMutation,
useRecombination, (int)typeOfObjectsRecombination, (int)typeOfStdDeviationsRecombination, (int)typeOfRotationsRecombination);
Seed = seed;
TrackEvolutionSteps = trackEvolutionSteps;
UseRedundantConstraintsRemoving = useRedundantConstraintsRemoving;
UseDataNormalization = useDataNormalization;
AllowQuadraticTerms = allowQuadraticTerms;
UseSeeding = useSeeding;
TypeOfBenchmark = typeOfBenchmark;
BallnBoundaryValue = ballnBoundaryValue;
CubenBoundaryValue = cubenBoundaryValue;
SimplexnBoundaryValue = simplexnBoundaryValue;
ReferenceConstraints = referenceConstraints;
NumberOfDomainSamples = numberOfDomainSamples;
NumberOfTestPoints = numberOfTestPoints;
NumberOfPositivePoints = numberOfPositivePoints;
NumberOfNegativePoints = numberOfNegativePoints;
DefaultDomainLowerLimit = defaultDomainLowerLimit;
DefaultDomainUpperLimit = defaultDomainUpperLimit;
MaxNumberOfPointsInSingleArray = maxNumberOfPointsInSingleArray;
}
public static bool DoMutation(this Random rand, MutationType type)
{
return(rand.NextDouble() <= MutationChances.GetChanceFor(type));
}
public void SwapShapes(Random rand)
{
int s1 = rand.Next(Shapes.Length);
Shape shape = Shapes[s1];
shape.PreviousState = shape.Clone() as Shape;
if (rand.Next(2) == 0) {
int s2;
do {
s2 = rand.Next(Shapes.Length);
} while (s1 == s2);
ShiftShapeIndex(s1, s2);
} else {
int s2 = rand.Next(Shapes.Length);
Shapes[s1] = Shapes[s2];
Shapes[s2] = shape;
}
LastMutation = MutationType.SwapShapes;
}
public GeneticIndividual(int[] topology, int numberOfEvaluations, MutationType mutation) : base(topology, numberOfEvaluations, mutation)
{
}
public override void DemandMutation(object entity, MutationType type, string path, object value, ISecurityContext context)
{
var avatar = entity as Avatar;
switch (path)
{
case "Avatar_BookmarksVec":
context.DemandAvatar(avatar.Avatar_Id, AvatarPermissions.WRITE);
using (var db = DAFactory.Get)
{ //need to check db constraints here.
switch (type)
{
case MutationType.ARRAY_REMOVE_ITEM:
//Remove bookmark at index value
var removedBookmark = value as Bookmark;
if (removedBookmark != null)
{
db.Bookmarks.Delete(new DbBookmark
{
avatar_id = avatar.Avatar_Id,
type = removedBookmark.Bookmark_Type,
target_id = removedBookmark.Bookmark_TargetID
});
}
break;
case MutationType.ARRAY_SET_ITEM:
//Add a new bookmark
var newBookmark = value as Bookmark;
if (newBookmark != null)
{
db.Bookmarks.Create(new DbBookmark
{
avatar_id = avatar.Avatar_Id,
target_id = newBookmark.Bookmark_TargetID,
type = newBookmark.Bookmark_Type
});
}
break;
}
}
break;
case "Avatar_Description":
context.DemandAvatar(avatar.Avatar_Id, AvatarPermissions.WRITE);
var desc = value as string;
if (desc != null && desc.Length > 500)
{
throw new Exception("Description too long!");
}
break;
case "Avatar_Skills.AvatarSkills_LockLv_Body":
case "Avatar_Skills.AvatarSkills_LockLv_Charisma":
case "Avatar_Skills.AvatarSkills_LockLv_Cooking":
case "Avatar_Skills.AvatarSkills_LockLv_Creativity":
case "Avatar_Skills.AvatarSkills_LockLv_Logic":
case "Avatar_Skills.AvatarSkills_LockLv_Mechanical":
context.DemandAvatar(avatar.Avatar_Id, AvatarPermissions.WRITE);
var level = (ushort)value;
//need silly rules so this isnt gamed.
//to change on city level must not be on a lot (city must own claim), need to db query the other locks
var skills = avatar.Avatar_Skills;
var limit = avatar.Avatar_SkillsLockPoints;
var skillname = "lock_" + path.Substring(34).ToLower();
using (var da = DAFactory.Get)
{
if (((da.AvatarClaims.GetByAvatarID(avatar.Avatar_Id)?.location) ?? 0) != 0)
{
throw new Exception("Lot owns avatar! Lock using the VM commands.");
}
if (level > limit - da.Avatars.GetOtherLocks(avatar.Avatar_Id, skillname))
{
throw new Exception("Cannot lock this many skills!");
}
}
break;
case "Avatar_PrivacyMode":
context.DemandAvatar(avatar.Avatar_Id, AvatarPermissions.WRITE);
var mode = (byte)value;
if (mode > 1)
{
throw new Exception("Invalid privacy mode!");
}
break;
case "Avatar_Top100ListFilter.Top100ListFilter_Top100ListID":
context.DemandAvatar(avatar.Avatar_Id, AvatarPermissions.WRITE);
var cat = (LotCategory)((uint)value);
using (var db = DAFactory.Get)
{ //filters baby! YES! about time i get a f*****g break in this game
var filter = db.LotClaims.Top100Filter(ShardId, cat, 10);
avatar.Avatar_Top100ListFilter.Top100ListFilter_ResultsVec = ImmutableList.ToImmutableList(filter.Select(x => x.location));
}
break;
default:
throw new SecurityException("Field: " + path + " may not be mutated by users");
}
}
