private static void Main(string[] args)
        {
            // the maze size 100x100
            int col = 100;
            int row = 100;

            // create maze with DFSMazeGenerator
            DFSMazeGenerator generator = new DFSMazeGenerator();
            Maze             maze      = generator.Generate(col, row);

            // print the maze
            Console.Write(maze.ToString());

            // adapt the maze and solve it with BFS
            ISearchable <Position> adapter     = new MazeAdapter(maze);
            ISearcher <Position>   bfsSearcher = new BestFirstSearch <Position>();

            bfsSearcher.Search(adapter);

            int bfsNumOfStases = bfsSearcher.GetNumberOfNodesEvaluated();

            // solve the maze with DFS
            ISearcher <Position> dfsSearcher = new DepthFirstSearch <Position>();

            dfsSearcher.Search(adapter);

            int dfsNumOfStases = dfsSearcher.GetNumberOfNodesEvaluated();

            // print the num of evalueted nodes for BFS and DFS
            Console.WriteLine("number of BFS states:" + bfsNumOfStases);
            Console.WriteLine("number of DFS states:" + dfsNumOfStases);

            Console.Read();
        }
Beispiel #2
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        /// <summary>
        /// Solves the maze BFS.
        /// </summary>
        /// <param name="name">The name.</param>
        /// <returns>Solution</returns>
        public Solution <Position> solveMazeBFS(string name)
        {
            modelData.mutexBfs.WaitOne();
            Solution <Position> solution = null;

            // Check if the maze exist.
            if (modelData.Mazes.ContainsKey(name))
            {
                ISearchable <Position> mazeObjectAdapter = new MazeAdapter(modelData.Mazes[name]);
                ISearcher <Position>   BFS = new BestFirstSearch <Position>();
                // Check if the solution exist.
                if (modelData.BfsSolutions.ContainsKey(name))
                {
                    solution = modelData.BfsSolutions[name];
                }
                else
                {
                    // Calculate the solution.
                    solution = BFS.Search(mazeObjectAdapter);
                    modelData.BfsSolutions.Add(name, solution);
                }
            }


            State <Position> .StatePool.Clear();

            modelData.mutexBfs.ReleaseMutex();
            return(solution);
        }
Beispiel #3
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        public LinkedList <string> calcFastestWay(string source, string dest)
        {
            BestFirstSearch bfs = new BestFirstSearch();

            bfs.BuildGraph();
            bfs.Search(source, dest, "time");
            return(bfs.path);
        }
Beispiel #4
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        /// <summary>
        /// Compares the solvers.
        /// </summary>
        public static void CompareSolvers()
        {
            DFSMazeGenerator generator = new DFSMazeGenerator();
            Maze             maze      = generator.Generate(10, 10);
            //Console.WriteLine(maze);
            ISearchable <Position> mazeAdapter = new MazeAdapter(maze);
            ISearcher <Position>   bfs         = new BestFirstSearch <Position>();
            ISearcher <Position>   dfs         = new Dfs <Position>();
            Solution <Position>    solution    = bfs.Search(mazeAdapter);

            Console.WriteLine("bfs sol:" + solution.EvaluatedNodes);
            Console.WriteLine(mazeAdapter.ToString(solution));
            solution = dfs.Search(mazeAdapter);
            Console.WriteLine("dfs sol:" + solution.EvaluatedNodes);
            Console.WriteLine(mazeAdapter.ToString(solution));
        }
        public IEnumerable <Operator> GetBestFirst()
        {
            AbstractSearch searcher = new BestFirstSearch();

            return(searcher.Search());
        }