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INFS 2042 Data Structures Advanced

创建日期：2024-09-10 16:53:26

所属分类：计算机computer science

标签： INFS 2042

Data Structures Advanced

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INFS 2042 Data Structures Advanced

Assignment 1 – Pathfinding

1 Introduction

As a game designer you want to develop your first 2D real-time strategy game. You envision a game where a

player is in a procedurally generated map, performing tasks with non-player characters and defending against

attacks from enemies. The type of map you want to use will feature different elevations, visualized as a height

map where blue is a low elevation and red is a high elevation. As this is a strategy game, moving between

different elevations has the added difficulty of being more costly for characters.

As this is your first foray into game development, you want to start with a very simple map—a 10 × 10

square grid where the player can move in eight directions: north, south, east, west, north-east, south-east,

north-west, south-west. With these criteria in mind, you decide that a graph is the perfect data structure in

which to store all the possible elevations and their connections to each other.

In this assignment we will build an undirected graph structure. A node, or vertex, in this graph will represent

a position on the graph being the centre of a 1x1 square. Each node contains information about the node’s

position in the map, as well as its elevation. Each node can have up to eight connections, or edges, to other

nodes, depending on its position in the map. These edges are what allow travel from one node to another.

This assignment consists of two parts. In Part A you will complete a number of helper methods that will be

useful when implementing search algorithms in the next part. In Part B you will generate all the edges between

each of the nodes to form them into the 10 × 10 grid. You will also implement a number of different search

algorithms. Depth- and breadth-first searches can both find a path from one node to another, but do it in

different ways and can have very different results. They also do not take into account the weight of the edge or,

in other words, the difficulty of travelling between elevations. The Dijkstra algorithm takes into account the

weight and so more accurately provides a path that is both short and least costly, or difficult to travel.

3Figure 1: The GUI before completing the connect Nodes method.

GUI is helpful for understanding how your graph searching algorithm implementations are functioning. Not

much will happen at this stage, but you will see an animation played as you complete the assignment tasks are

completed (such as shown in Figure 2). You are now ready to start working on the assignment tasks described

in the following sections.

Figure 2: The GUI after completing the connect Nodes method.

Part A

In this section you will complete some methods that are necessary for building and utilizing the graph structure

that you will build in section 4, Part B.

3.1 Position

The Position class represents a 2D point in space and contains an x (horizontal) and a y (vertical) coordinate.

For this assignment we are only concerned with finding the distance between two 2D points. A Position object

has two class variables:

public double x;

public double y;

The Position class has the following method that you need to implement:

public double distance(Position v2)

This method should calculate the Euclidean distance between two points. The method should be called on one

Position object, and passed the second Position object v2 as the parameter. The distance should be returned as

a double. The algorithm for calculating the Euclidean distance is as follows:

𝑑(𝑝, 𝑞) = √(𝑞𝑥 − 𝑝𝑥) 2 + (𝑞𝑦 − 𝑝𝑦) 2

3.2 PositionTest

PositionTest will assign marks as shown in Table 2. You can run the test by running the project as JUnit Test,

instead of Java Application. As mentioned in the introduction, these are just provided as a reference for you to

test your own solution. Actual marking will vary based on the quality and solidity of your code.

Table 2: PositionTest mark allocation

Test

Marks

distance

Total:

3.3 Edge

The Edge class represents a connection from one node to another. An Edge object has three class variables:

private Node fromNode; // source node

private Node toNode; // destination node

private double weight; // weight6

The Edge class has the following method that you need to implement:

void calculateWeight()

The weight of an Edge should be calculated using this method upon creation of the Edge. The weight is calculated

as the Euclidean distance between the two nodes multiplied by the absolute difference between the two nodes’

elevations, plus a factor 0.01. This can be represented mathematically as follows:

w(e) = d(p1, p2) × ( 0.01 + |e1 – e2| )

Where e1 is the elevation of the from node, and e2 is the elevation of the to node. d is a function that calculates

the Euclidean distance between two 2D points, p1 and p2, that are positions of the two nodes.

3.4 EdgeTest

EdgeTest will assign marks as shown in Table 1.

Table 1: Edge Test mark allocation

Test

Marks

constructor

calculateWeight

Total:

4 Part B

In this section you will implement a number of methods in the Graph class. First, you will create edges between

a given set of vertices. Next, you will implement some helper methods for navigating the graph. Lastly, you will

implement several graph searching algorithms. As you go through these steps it will be useful the use the GUI

to visualise how your algorithms are working. Using the GUI for testing is further explained in section 5.

4.1 Graph

The graph structure that you must build in this assignment forms a 10×10 grid, with all edges between the

nodes being undirected. Due to the way in which our graph is built, node pairs have mirrored edges—node 1

has an edge to node 2, node 2 has an edge to node 1. The Graph class has no class variables. The graph

representation used in this assignment is neither adjacency matrix nor adjacency list, but rather a node having

a list of edges that connects to another node. Details are provided below.

4.1.1 void connectNodes(Node[] nodes)

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