In this problem you will implement Dijkstra's algorithm to find shortest paths between pairs of cities on a map. We are providing a a GUI that lets you visualize the map and the path your algorithm finds between two cities.
Before you start:
Download and unpack the file [url removed, login to view] in a new window, which contains the GUI, a graph implementation, and data files representing a map. The file [url removed, login to view] contains a list of cities and their (X,Y) coordinates on the map. These are the vertices in the graph. The file [url removed, login to view] lists direct, connections between pairs of cities. These links are bidirectional, if you can from NewYork to Boston, you can get from Boston to NewYork. These are the edges of the graph.
If you use an IDE, import the java files and make sure that [url removed, login to view] and [url removed, login to view] are placed in the project directory. If you use java and javac from the command line put the files in the same directory as the source files.
Compile all java sources and run the program Display. This should bring up a window and display the map. You will notice that clicking on "Compute All Euclidean Distances" does nothing and that "Draw Dijkstra's Path" will throw a null pointer exception on the terminal. You will have to implement these methods yourself.
Carefully read through the classes [url removed, login to view] and [url removed, login to view], which represent the vertices and edges of a graph. You will not have to modify these classes for the assignment, but you need to understand how the graph is represented and what information is associated with each vertex and edge. If you do modify these files, please explain in the README.
You will only have to modify [url removed, login to view], which represents a graph and will contain your implementation of Dijkstra's algorithm. You will need to use the instance variable vertexNames, which contains a mapping from city names to Vertex objects after the graph is read from the data files. The main method of Dijkstra illustrates how the class is used by the GUI and might be useful for testing your implementation on the command line.
a. Implement the method computeAllEuclideanDistances() which should compute the euclidean distance between all cities that have a direct link and set the weights for the corresponding edges in the graph. Once this works correctly, the correct distances should be displayed in the GUI when clicking on "Compute All Euclidean Distances".
b. In the method doDijkstra(String s), implement Dijkstra's algorithm starting at the city with name s. Use the distances associated with the edges. The method should update the distance and prev instance variables of the Vertex objects. You do not have to use a priority queue to store vertices that still need to be visited. Instead, keep these vertices on a list and scan through the entire list to find the minimum. We are making this simplification (at the expense of runtime) because [url removed, login to view] does not support the decreaseKey operation.
c. Implement the method getDijkstraPath(String s, String t), which first calls doDijstra(s) and then uses the distance and prev instance variables of the Vertex objects to find the shortest path between s and t. The resulting path should be returned as a list of Edge objects. Once this works correctly, you should be able to compute and display paths in the GUI.
16 freelancers estão ofertando em média $25 para esse trabalho
Dear sir. I am very interested to your project. I have a good skill and experience in java programming. I can finish this project in perfect. Please contact me. Thanks. Stay tuned, I'm still working on this proposal.
I have more than 5 years of exp and I am working in product based company. I have good knowledge of algorithms. Relevant Skills and Experience java algo data structure Proposed Milestones $10 USD - full
The source code will be delivered in one hour after project is granted Relevant Skills and Experience Java Graph Theory Proposed Milestones $10 USD - Source Code