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); }