示例#1
0
    public List <HexagonControl> Dijkstra(Graph graph)
    {
        var notVisited = graph.GetListNodes();

        var track = new Dictionary <Node, DijkstraData>();

        track[notVisited[0]] = new DijkstraData {
            Previous = null, Price = 0
        };
        while (true)
        {
            Node  toOpen      = null;
            float priceToOpen = float.PositiveInfinity;
            foreach (var v in notVisited)
            {
                if (track.ContainsKey(v) && track[v].Price < priceToOpen)
                {
                    toOpen      = v;
                    priceToOpen = track[v].Price;
                }
            }

            if (toOpen == null)
            {
                //Debug.Log("Disconnected graph");

                return(null);
            }

            if (toOpen == graph[graph.Length - 1])
            {
                break;
            }
            List <Edge> edgesList = toOpen.IncidentEdge();
            for (int i = 0; i < edgesList.Count; i++)
            {
                var currenPraise = track[toOpen].Price + edgesList[i].Price;
                var nextNode     = edgesList[i].OtherNode(toOpen);
                if (!track.ContainsKey(nextNode) || track[nextNode].Price > currenPraise)
                {
                    track[nextNode] = new DijkstraData {
                        Price = currenPraise, Previous = toOpen
                    };
                }
            }
            notVisited.Remove(toOpen);
        }

        var  result = new List <HexagonControl>();
        Node end    = graph[graph.Length - 1];

        while (end != null)
        {
            result.Add(end.NodeHexagon);
            end = track[end].Previous;
        }
        result.Reverse();
        //Debug.Log(result.Count);
        return(result);
    }
示例#2
0
        public static Graph LabelCorrecting(Graph g, int vert)
        {
            Output.WriteLine("[Label Correcting Output]");
            //Not working, I think because of the two loops for in and out edges

            //Change this to assume g is an undirected graph

            //Keep a heap of vertices, based on their distance label
            //Each one is initially infinity, except the intial vertex, which is 0

            Graph copy = new Graph();
            Graph tree = new Graph();
            //Create a copy to preserve g's state
            g.CopyTo(copy);

            List<Vertex> vertices = copy.GetVertices();
            List<Edge> edges = copy.GetEdges();

            DijkstraData v = new DijkstraData();
            v.Predecessor = null;
            v.InQ = false;
            v.V = vertices[vert];
            v.D = 0;
            v.InTree = false;
            v.EdgeLength = float.PositiveInfinity;
            vertices[vert].Tag = v;

            Heap<DijkstraData> q = new Heap<DijkstraData>(true);
            q.Add(vertices[vert].Tag as DijkstraData);
            (vertices[vert].Tag as DijkstraData).InQ = true;

            foreach (Vertex u in vertices)
            {
                if (!v.V.Equals(u))
                {
                    DijkstraData dd = new DijkstraData();
                    dd.D = float.PositiveInfinity;
                    dd.V = u;
                    dd.InTree = false;
                    dd.InQ = false;
                    u.Tag = dd;
                }
            }

            float maxEdgeWeight = float.NegativeInfinity;
            foreach (Edge e in edges)
            {
                if (Math.Abs(e.Weight) > maxEdgeWeight)
                {
                    maxEdgeWeight = Math.Abs(e.Weight);
                }
            }
            int n = vertices.Count;
            float negativeCycleCheck = n * -maxEdgeWeight;

            while (q.HasNext())
            {
                DijkstraData dd = q.Next();
                dd.InQ = false;
                /*if (dd.Predecessor == null)
                {
                    tree.AddVertex(dd.V);
                }
                else
                {
                    tree.AddEdge(new Edge(dd.Predecessor, dd.V, dd.EdgeLength));
                    dd.InTree = true;
                }*/

                foreach (Edge e in dd.V.GetOutEdges())
                {
                    Vertex connectedVertex = e.GetToVertex();
                    DijkstraData data = connectedVertex.Tag as DijkstraData;

                    if (data.D > dd.D + e.Weight)
                    {
                        data.D = dd.D + e.Weight;
                        if (data.D < negativeCycleCheck)
                        {
                            throw new Exception("Negative cycle detected!");
                        }
                        data.Predecessor = dd.V;
                        if (!q.Contains(data))
                        {
                            q.Add(data);
                            data.InQ = true;
                        }
                    }
                }

                if (g.Directed)
                {
                    continue;
                }

                foreach (Edge e in dd.V.GetInEdges())
                {
                    Vertex connectedVertex = e.GetFromVertex();
                    DijkstraData data = connectedVertex.Tag as DijkstraData;

                    if (data.D > dd.D + e.Weight)
                    {
                        data.D = dd.D + e.Weight;
                        if (data.D < negativeCycleCheck)
                        {
                            throw new Exception("Negative cycle detected!");
                        }
                        data.Predecessor = dd.V;
                        if (!q.Contains(data))
                        {
                            q.Add(data);
                            data.InQ = true;
                        }
                    }
                }
            }

            Output.WriteLine("Distance from selected vertex to:");

            foreach (Vertex vertex in vertices)
            {
                Output.WriteLine(vertex.ToString() + " = " + (vertex.Tag as DijkstraData).D);
            }

            Output.WriteLine("[End Label Correcting Output]");
            return tree;
        }
示例#3
0
        /// <summary>
        /// Finds a shortest journey path when the start port not is equal to the end port (used dijkstra recursion algorithm).
        /// </summary>
        /// <param name="startPort">The start point of the route.</param>
        /// <param name="endPort">The end point of the route.</param>
        /// <param name="daysCount">The number of days that the journey lasts.</param>
        /// <returns>A collection of ports that is the shortest route of journey.</returns>
        private List <IPort> GetShortestJourneyByDijkstra(IPort startPort, IPort endPort, out int?daysCount)
        {
            // in the start all ports are not visited
            var notVisited = _shippingNetwork.Ports.ToList();
            var track      = new Dictionary <IPort, DijkstraData>
            {
                [startPort] = new DijkstraData {
                    Price = 0, Previous = null
                }
            };
            var routes = _shippingNetwork.Routes.ToList();

            daysCount = null;
            while (true)
            {
                IPort toOpen    = null;
                var   bestPrice = int.MaxValue;
                // tries to get port with a minimal price
                foreach (var port in notVisited)
                {
                    if (track.ContainsKey(port) && track[port].Price < bestPrice)
                    {
                        bestPrice = track[port].Price;
                        toOpen    = port;
                    }
                }

                // the path not exists
                if (toOpen == null)
                {
                    return(null);
                }
                // we found the path
                if (toOpen == endPort)
                {
                    break;
                }

                // check all routes from the current port
                foreach (var route in routes.Where(r => r.PortFrom == toOpen))
                {
                    var currentPrice = track[toOpen].Price + route.TravelDays;
                    var nextNode     = route.PortTo;
                    if (!track.ContainsKey(nextNode) || track[nextNode].Price > currentPrice)
                    {
                        track[nextNode] = new DijkstraData {
                            Previous = toOpen, Price = currentPrice
                        };
                    }
                }

                notVisited.Remove(toOpen);
            }

            daysCount = track[endPort].Price;

            // creates a collection of ports that is the shortest path
            var result = new List <IPort>();

            while (endPort != null)
            {
                result.Add(endPort);
                endPort = track[endPort].Previous;
            }
            result.Reverse();
            return(result);
        }
示例#4
0
        public static Graph Dijkstra(Graph g, int vert, bool directed)
        {
            Output.WriteLine("[Dijkstra Output]");

            //If I get a negative edge weight, tell user to use label correcting instead of dijkstra's

            //Change this to assume g is an undirected graph

            //Keep a heap of vertices, based on their distance label
            //Each one is initially infinity, except the intial vertex, which is 0

            Graph copy = new Graph();
            Graph tree = new Graph();
            //Create a copy to preserve g's state
            g.CopyTo(copy);

            List<Vertex> vertices = copy.GetVertices();
            List<Edge> edges = copy.GetEdges();

            DijkstraData v = new DijkstraData();
            v.Predecessor = null;
            v.InQ = false;
            v.V = vertices[vert];
            v.D = 0;
            v.InTree = false;
            v.EdgeLength = float.PositiveInfinity;
            vertices[vert].Tag = v;

            Heap<DijkstraData> q = new Heap<DijkstraData>(true);
            q.Add(vertices[vert].Tag as DijkstraData);
            (vertices[vert].Tag as DijkstraData).InQ = true;

            foreach (Vertex u in vertices)
            {
                if (!v.V.Equals(u))
                {
                    DijkstraData dd = new DijkstraData();
                    dd.D = float.PositiveInfinity;
                    dd.V = u;
                    dd.InTree = false;
                    u.Tag = dd;
                    q.Add(dd);
                    dd.InQ = true;
                }
            }

            foreach (Edge e in edges)
            {
                if (e.Weight < 0)
                {
                    Output.WriteLine("Negative edge weight detected. Use Label Correcting instead of Dijkstra");
                    return null;
                }
            }

            while (q.HasNext())
            {
                DijkstraData dd = q.Next();
                dd.InQ = false;
                /*if (dd.Predecessor == null)
                {
                    tree.AddVertex(dd.V);
                    dd.InTree = true;
                }
                else
                {
                    tree.AddEdge(new Edge(dd.Predecessor, dd.V, dd.EdgeLength));
                    dd.InTree = true;
                }*/

                foreach (Edge e in dd.V.GetOutEdges())
                {
                    Vertex connectedVertex = e.GetToVertex();
                    DijkstraData data = connectedVertex.Tag as DijkstraData;

                    if (data.InQ)
                    {
                        if (dd.D + e.Weight < data.D)
                        {
                            if (dd.D + e.Weight < data.D)
                            {
                                data.D = dd.D + e.Weight;
                                q.Update(data);
                            }
                        }
                    }
                }

                //If this is a directed graph, don't consider in edges
                if (directed)
                {
                    continue;
                }
                foreach (Edge e in dd.V.GetInEdges())
                {
                    Vertex connectedVertex = e.GetFromVertex();
                    DijkstraData data = connectedVertex.Tag as DijkstraData;

                    if (data.InQ)
                    {
                        if (dd.D + e.Weight < data.D)
                        {
                            data.D = dd.D + e.Weight;
                            q.Update(data);
                        }
                    }
                }
            }

            Output.WriteLine("Distance from selected vertex to:");

            foreach (Vertex vertex in vertices)
            {
                Output.WriteLine(vertex.ToString() +  " = " + (vertex.Tag as DijkstraData).D);
            }

            Output.WriteLine("[End Dijkstra Output]");
            return tree;
        }