Exemplo n.º 1
0
        public RealTimeAnytimeDStar(Heuristic <SS, DS> H, Transformer <SS, DS> Transformer,
                                    StateVisualizer <SS, DS> sv, ChooseMethodStep sm, double Ratio)
        {
            this.Transformer = Transformer;
            this.H           = H;
            this.aS          = new RealTimeAnytimeDStar <SS, DS> .AnytimeDStarState( );

            this.aS.sv = sv;
            this.sm    = sm;
            this.Ratio = Ratio;
        }
Exemplo n.º 2
0
 public RealTimeDStarLite(Heuristic <SS, DS> H,
                          Transformer <SS, DS> Transformer,
                          StateVisualizer <SS, DS> sv, ChooseMethodLandMarkGoal lgm,
                          ChooseMethodFilterSucc fsm, ChooseMethodStep sm, Metric Weight, double Ratio)
 {
     this.Transformer = Transformer;
     this.H           = H;
     this.sv          = sv;
     this.lgm         = lgm;
     this.fsm         = fsm;
     this.sm          = sm;
     this.Weight      = Weight;
     this.Ratio       = Ratio;
 }
Exemplo n.º 3
0
        /// <summary>
        /// Returns an algorithm based on the given string and the given data
        /// fields. This will throw an AlgorithmNotFoundException if the given
        /// key is invalid based on the given implementation of this interface.
        /// </summary>
        /// <param name="Key">A string key of the algorithm which should be
        /// selected.</param>
        /// <param name="Params">object params of additional optional data
        /// to use when fetching the algorithm. What this data means depends
        /// on the implementation.</param>
        /// <returns></returns>
        public Algorithm <SS, DS> GetAlgorithm(string Key,
                                               HeuristicFactory <SS, DS> HeuristicFactory, int offset,
                                               params string[] Data)
        {
            if (RealTimeDataSet)
            {
                int i;
                if ((i = Key.IndexOf("-Weight=")) > 0)
                {
                    string AfterValue = Key.Substring(i + 8);
                    int    j          = AfterValue.IndexOf("-");
                    if (j > 0)
                    {
                        AfterValue = AfterValue.Substring(0, j);
                    }
                    Weight = new Metric(double.Parse(AfterValue));
                    if (j > 0)
                    {
                        AfterValue = Key.Substring(i + 8 + j);
                        Key        = Key.Substring(0, i) + AfterValue;
                    }
                    else
                    {
                        Key = Key.Substring(0, i);
                    }
                }
                else if ((i = Key.IndexOf("-Ratio=")) > 0)
                {
                    string AfterValue = Key.Substring(i + 7);
                    int    j          = AfterValue.IndexOf("-");
                    if (j > 0)
                    {
                        AfterValue = AfterValue.Substring(0, j);
                    }
                    Ratio = double.Parse(AfterValue);
                    if (j > 0)
                    {
                        AfterValue = Key.Substring(i + 7 + j);
                        Key        = Key.Substring(0, i) + AfterValue;
                    }
                    else
                    {
                        Key = Key.Substring(0, i);
                    }
                }
            }

            try {
                if (Key.Equals("Human"))
                {
                    return(new Human(vis as OpenGLStateVisualizer) as Algorithm <SS, DS>);
                }
                else if (Key.Equals("NoOp"))
                {
                    return(new NoOp <SS, DS>( ));
                    // Some Special Algs. for myself.
                }
                else if (Key.Equals("depth-first-closed-list"))
                {
                    return(new DepthFirstSearch <SS, DS>(Metric.Zero, true, vis));
                }
                else if (Key.Equals("depth-first-closed-list-bounded"))
                {
                    return(new DepthFirstSearch <SS, DS>(new Metric(double.Parse(Data[offset])),
                                                         true, vis));
                }
                else if (Key.Equals("depth-first-duplicate-detection"))
                {
                    return(new DepthFirstSearch <SS, DS>(Metric.Zero, false, vis));
                }
                else if (Key.Equals("depth-first-duplicate-detection-bounded"))
                {
                    return(new DepthFirstSearch <SS, DS>(new Metric(double.Parse(Data[offset])),
                                                         false, vis));

                    /*} else if ( Key.Equals( "depth-first-id-closed-list" ) ) {
                     * return new IterativeDeepingSearch<SS, DS>(
                     *       new DepthFirstSearch<SS, DS>( new Metric( 1.0d ), true, vis ) );
                     * } else if ( Key.Equals( "depth-first-id-duplicate-detection" ) ) {
                     * return new IterativeDeepingSearch<SS, DS>(
                     *       new DepthFirstSearch<SS, DS>( new Metric( 1.0d ), false, vis ) );
                     */
                }
                // Start A1 Algs.
                else if (Key.Equals("depth-first"))
                {
                    return(new DepthFirstSearch <SS, DS>(Metric.Zero, true, vis));
                } /*else if ( Key.Equals( "depth-first-id" ) ) {
                   * return new IterativeDeepingSearch<SS, DS>(
                   *     new DepthFirstSearch<SS, DS>( new Metric( 1.0d ), false, vis ) );
                   * } */
                else if (Key.Equals("uniform-cost"))
                {
                    return(new UniformedCostSearch <SS, DS>(true, vis));
                }
                else if (Key.Equals("greedy"))
                {
                    return(new Greedy <SS, DS>(h, true, vis));
                }
                else if (Key.Equals("A*"))
                {
                    return(new Net.Mokon.Edu.Unh.CS.AI.Search.Algorithms.AStar <SS, DS>(
                               h, true, vis));
                }
                else if (Key.Equals("weighted-a-star"))
                {
                    return(new WeightedAStar <SS, DS>(
                               HeuristicFactory.GetHeuristic(Data[offset + 1]), true,
                               new Metric(double.Parse(Data[offset])), vis));
                }
                else if (Key.Equals("weighted-a-star-duplicate-detection"))
                {
                    return(new WeightedAStar <SS, DS>(
                               HeuristicFactory.GetHeuristic(Data[offset + 1]), false,
                               new Metric(double.Parse(Data[offset])), vis));
                } /*else if ( Key.Equals( "ida-star" ) ) {
                   * return new IterativeDeepingSearch<SS, DS>(
                   *     new Net.Mokon.Edu.Unh.CS.AI.Search.Algorithms.AStar<SS, DS>(
                   *       new PathLengthGComputer<SS, DS>( ),
                   *     HeuristicFactory.GetHeuristic( Data[1] ), new Metric( 1.0d ), true, vis ) );
                   * // Real Time Algorithms
                   * } else if ( Key.Equals( "LRTA*" ) ) {
                   * return new LRTAStar<SS, DS>( h, true, vis, Weight, false );
                   * } else if ( Key.Equals( "LRTA*-dyn" ) ) {
                   * return new LRTAStar<SS, DS>( h, false, vis, Weight, false );
                   * } else if ( Key.Equals( "RTA*" ) ) {
                   * return new LRTAStar<SS, DS>( h, true, vis, Weight, true );
                   * } else if ( Key.Equals( "RTA*-dyn" ) ) {
                   * return new LRTAStar<SS, DS>( h, false, vis, Weight, true );
                   * } */
                else if (Key.Equals("D*Lite"))
                {
                    return(new DStarLite <SS, DS>(h, sut, vis));
                }
                else if (Key.Equals("Anytime-D*"))
                {
                    return(new AnytimeDStar <SS, DS>(h, sut, vis));
                }
                else if (Key.Equals("LSS-LRTA*"))
                {
                    return(new LSSLRTAStar <SS, DS>(h, vis, sut));
                }
                else if (Key.Equals("A*-RealTime"))
                {
                    return(new Net.Mokon.Edu.Unh.CS.AI.Search.Algorithms.RealTime.
                           AStar <SS, DS>(h));
                }
                else if (Key.StartsWith("RealTimeD*Lite"))
                {
                    ChooseMethodLandMarkGoal lmg  = ChooseMethodLandMarkGoal.Goal;
                    ChooseMethodFilterSucc   fs   = ChooseMethodFilterSucc.All;
                    ChooseMethodStep         step = ChooseMethodStep.MinHLandmarkGoal;
                    if (Key.Contains("LSS-LRTA*")) // must be b4 lrta*
                    {
                        step = ChooseMethodStep.LSSLRTAStar;
                    }
                    else if (Key.Contains("LRTA*"))
                    {
                        step = ChooseMethodStep.LRTAStar;
                    }
                    else if (Key.Contains("RTA*"))
                    {
                        step = ChooseMethodStep.RTAStar;
                    }
                    else if (Key.Contains("AStar"))
                    {
                        step = ChooseMethodStep.AStar;
                    }
                    else if (Key.Contains("NoOp"))
                    {
                        step = ChooseMethodStep.Null;
                    }
                    else if (Key.Contains("Adjusted"))
                    {
                        step = ChooseMethodStep.MinHAdustedLandmarkGoal;
                    }

                    if (Key.Contains("Goal"))
                    {
                        lmg = ChooseMethodLandMarkGoal.Goal;
                    }
                    else if (Key.Contains("USample"))
                    {
                        lmg = ChooseMethodLandMarkGoal.USample;
                    }
                    else if (Key.Contains("UTop"))
                    {
                        lmg = ChooseMethodLandMarkGoal.UTop;
                    }

                    if (Key.Contains("Lock"))
                    {
                        fs = ChooseMethodFilterSucc.Lock;
                    }

                    return(new RealTimeDStarLite <SS, DS>(h, sut, vis,
                                                          lmg, fs, step, Weight, Ratio));
                }
                else if (Key.StartsWith("RealTimeAnytimeD*"))
                {
                    ChooseMethodStep step = ChooseMethodStep.LSSLRTAStar;
                    if (Key.Contains("LSS-LRTA*")) // must be b4 lrta*
                    {
                        step = ChooseMethodStep.LSSLRTAStar;
                    }
                    else if (Key.Contains("LRTA*"))
                    {
                        step = ChooseMethodStep.LRTAStar;
                    }
                    else if (Key.Contains("RTA*"))
                    {
                        step = ChooseMethodStep.RTAStar;
                    }
                    else if (Key.Contains("NoOp"))
                    {
                        step = ChooseMethodStep.Null;
                    }
                    return(new RealTimeAnytimeDStar <SS, DS>(h, sut, vis, step, Ratio));
                }
                else if (Key.Equals("BRTA*"))
                {
                    return(new BRTSAStar <SS, DS>(h, sut));
                }
                else if (Key.Equals("BRTwA*"))
                {
                    return(new BRTSwAStar <SS, DS>(h, sut, Weight));

                    /*} else if ( Key.Equals( "TBA*-Old" ) ) {
                     * return new TBAStar<SS, DS>( ( SS, DS, G, Os ) => gc.G( SS, DS, G ) + h.H( SS, DS, G, Os ) );
                     * } else if ( Key.Equals( "TBA*" ) ) {
                     * return new TBAStar2<SS, DS>( ( SS, DS, G, Os ) => gc.G( SS, DS, G ) + h.H( SS, DS, G, Os ), 0.9f, 10 );
                     * } else if ( Key.Equals( "TBA*-LPA*" ) ) {
                     * return new TBAStar2<SS, DS>( h, sut, 0.9f, 10, vis );
                     * } else if ( Key.StartsWith( "RealTimeTBA*-LPA*" ) ) {
                     * ReconstructPathStartingPoint rpsp = ReconstructPathStartingPoint.UTop;
                     * ShortcutDetection sd = ShortcutDetection.None;
                     *
                     * if ( Key.Contains( "-UTop" ) ) {
                     *  rpsp = ReconstructPathStartingPoint.UTop;
                     * } else if ( Key.Contains( "-BestH" ) ) {
                     *  rpsp = ReconstructPathStartingPoint.BestH;
                     * } else if ( Key.Contains( "-Alternate" ) ) {
                     *  rpsp = ReconstructPathStartingPoint.Alternate;
                     * }
                     *
                     * if ( Key.Contains( "-ShortcutDetection" ) ) {
                     *  sd = ShortcutDetection.AStar;
                     * }
                     *
                     * return new RealTimeTBAStar<SS, DS>( h, sut, 0.9f, 10, vis, rpsp, sd );*/
                }
                else if (Key.Equals("BRTA*Sorting"))
                {
                    return(new BRTSAStarSorting <SS, DS>(h, sut));
                }
                else if (Key.Equals("LPA*"))
                {
                    return(new LPAStar <SS, DS>(h, sut, vis, ReconstructPathStartingPoint.UTop));
                }
                else if (Key.Equals(""))
                {
                    return(null);
                }
                else
                {
                    throw new AlgorithmNotFoundException(
                              "Algorithm [ " + Key + " ] Not Implemented");
                }
            } catch (FormatException) {
                throw new AlgorithmNotFoundException(
                          "Algorithm [ " + Key + " ] Problem Parsing Arguments");
            }
        }