public TargetOptimizationCenter(GWActionExecuter <PositionData, ActionData> actionExecuter, IEnumerable <GWActionFinder <PositionData, ActionData> > actionFinders, IEnumerable <GWActionEvaluator <PositionData, ActionData> > actionEvaluators, GWPositionEvaluator <PositionData, ActionData> endPositionEvaluator, GWProgressEstimator <PositionData> progressEstimator, GWPositionCategorizer <PositionData, ActionData> positionCategorizer, GWActionCategorizer <PositionData, ActionData> actionCategorizer, CategoryEvaluator <PositionData, ActionData, CheckPointType> categoryEvaluationLogic, CancelCriteria cancelCriteria, string id, TargetOptCenterParams optCenterParams, PositionGuide <PositionData> areaGuide, MandatoryActionExecuter <PositionData, ActionData, CheckPointType> mandatoryActionExecuter, RunnerPool <PositionData, ActionData, CheckPointType> runnerPool) : base()
{
MandatoryActionExecuter = mandatoryActionExecuter;
AreaGuide = areaGuide;
Id = id;
ProgressEstimator = progressEstimator;
PositionCategorizer = positionCategorizer;
CancelCriteria = cancelCriteria;
TargetOptCenterParams = optCenterParams;
EndPositionEvaluator = endPositionEvaluator;
CategoryEvaluationLogic = categoryEvaluationLogic;
Pool = runnerPool;
Pool.OnEndpositionDiscovered = (item) => EndPositionDiscovered(item.Position);
}
//public static IOptimizationCenter<PositionData, ActionData> PhalanxCenter<PositionData, ActionData>(int phalanxSize, int resultsSize, double[] feedBack, GWActionExecuter<PositionData, ActionData> actionExecuter, IEnumerable<GWActionFinder<PositionData, ActionData>> actionFinders, IEnumerable<GWActionEvaluator<PositionData, ActionData>> actionEvaluators, IEnumerable<GWPositionEvaluator<PositionData, ActionData>> endPositionEvaluators)
// where PositionData : Cloneable<PositionData>
//{
// var phalanxCenter = new GWPhalanxOptimizationCenter<PositionData, ActionData>(phalanxSize, resultsSize, feedBack, actionExecuter, actionFinders, actionEvaluators, endPositionEvaluators);
// return phalanxCenter;
//}
public static ITargetOptCenter <PositionData, ActionData, CheckPointType> TargetOptimizationCenter <PositionData, ActionData, CheckPointType>(GWActionExecuter <PositionData, ActionData> actionExecuter, IEnumerable <GWActionFinder <PositionData, ActionData> > actionFinders, IEnumerable <GWActionEvaluator <PositionData, ActionData> > actionEvaluators, GWPositionEvaluator <PositionData, ActionData> endPositionEvaluator, GWProgressEstimator <PositionData> progressEstimator, GWPositionCategorizer <PositionData, ActionData> positionCategorizer, GWActionCategorizer <PositionData, ActionData> actionCategorizer, CategoryEvaluator <PositionData, ActionData, CheckPointType> categoryEvaluationLogic, CancelCriteria cancelCriteria, string id, TargetOptCenterParams optCenterParams, PositionGuide <PositionData> areaGuide, MandatoryActionExecuter <PositionData, ActionData, CheckPointType> mandatoryActionExecuter, RunnerPool <PositionData, ActionData, CheckPointType> runnerPool)
where PositionData : BasePositionData <PositionData, ActionData, CheckPointType>, Cloneable <PositionData>, IHasFingerprint
where ActionData : BaseActionData <PositionData, ActionData, CheckPointType>
where CheckPointType : CheckPoint <PositionData>
{
var optCenter = new TargetOptimizationCenter <PositionData, ActionData, CheckPointType>(actionExecuter, actionFinders, actionEvaluators, endPositionEvaluator, progressEstimator, positionCategorizer, actionCategorizer, categoryEvaluationLogic, cancelCriteria, id, optCenterParams, areaGuide, mandatoryActionExecuter, runnerPool);
return(optCenter);
}
public void RunUntilMeetTargetOrEnd(PartialTarget <PositionData>[] targets, CancelCriteria criteria, int maxSteps = 0)
{
//Position.Data.NextCheckPoint = NextCheckPoint;
//LastCrossroad = new GWCrossroad<PositionData, ActionData>(Position);
int stepsDone = 0;
while (true)
{
//var fallbackDone = false;
var currentTargetsReached = new bool[targets.Length];
for (int i = 0; i < targets.Length; i++)
{
currentTargetsReached[i] = targets[i].ReachTarget(Position);
}
var options = new List <GWAction <PositionData, ActionData> >();
foreach (var actionFinder in ActionHandling.ActionFinders)
{
// filter actions that have been researched
var newOptions = actionFinder.FindActions(Position);
options.AddRange(newOptions);
//options.AddRange(newOptions.Where(a => !Position.Data.ActionsTried.Contains(a.Data.FingerPrint)));
}
if (HasMoved)
{
options = (options.Where(op => op.HasImpactOnTarget)).ToList();
}
//TODO: filter double actions (from several actionFinders)
if (options.NullOrEmpty())
{ //no more options that help reach a target, can stop searching
break;
}
//categorize actions
//var optionCategories = options.Split(action => ActionHandling.ActionCategorizer.Categorize(action)).ToArray();
if (options.NullOrEmpty())
{ //no more options that help reach a target, can stop searching
break;
}
//choose by multievaluation:
ChosenAction = MultiEvaluation.Do(options, ActionHandling.ActionEvaluators, Weights, 1, MultiEvaluationOptions).First();
PreSolution.Position = ActionHandling.ActionExecuter.CreateNewPosition(ChosenAction);
HasMoved = true;
stepsDone++;
//check if new target is reached
bool newTargetReached = false;
for (int i = 0; i < targets.Length; i++)
{
var targetReached = targets[i].ReachTarget(Position);
if (currentTargetsReached[i] != targetReached)
{
currentTargetsReached[i] = targetReached;
newTargetReached = true;
}
}
if (targets.All(t => t.ReachTarget(Position) || t.IsOptional))
{
Position.IsEndPosition = true;
OnTargetReached(this);
if (criteria == CancelCriteria.TargetsReached)
{
break;
}
}
if (newTargetReached)
{
OnTargetReached(this);
if (criteria == CancelCriteria.TargetsReached)
{
break;
}
}
if (criteria == CancelCriteria.MaxSteps && stepsDone >= maxSteps)
{
break;
}
}
//Score = Position.Data.NextCheckPoint.Score(Position.Data);
}