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Tugas Besar 2 - Strategi Algoritma 2022/2023

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Zainali?!? - Pengaplikasian Algoritma BFS dan DFS dalam Menyelesaikan Persoalan Maze Treasure Hunt

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Lore

Tuan Krabs menemukan sebuah labirin distorsi terletak tepat di bawah Krusty Krab bernama El Doremi yang Ia yakini mempunyai sejumlah harta karun di dalamnya dan tentu saja Ia ingin mengambil harta karunnya. Dikarenakan labirinnya dapat mengalami distorsi, Tuan Krabs harus terus mengukur ukuran dari labirin tersebut. Oleh karena itu, Tuan Krabs banyak menghabiskan tenaga untuk melakukan hal tersebut sehingga Ia perlu memikirkan bagaimana caranya agar Ia dapat menelusuri labirin ini lalu memperoleh seluruh harta karun dengan mudah.

Setelah berpikir cukup lama, Tuan Krabs tiba-tiba mengingat bahwa ketika Ia berada pada kelas Strategi Algoritma-nya dulu, Ia ingat bahwa Ia dulu mempelajari algoritma BFS dan DFS sehingga Tuan Krabs menjadi yakin bahwa persoalan ini dapat diselesaikan menggunakan kedua algoritma tersebut. Akan tetapi, dikarenakan sudah lama tidak menyentuh algoritma, Tuan Krabs telah lupa bagaimana cara untuk menyelesaikan persoalan ini dan Tuan Krabs pun kebingungan. Tidak butuh waktu lama, Ia terpikirkan sebuah solusi yang brilian. Solusi tersebut adalah meminta mahasiswa yang saat ini sedang berada pada kelas Strategi Algoritma untuk menyelesaikan permasalahan ini.

Overview

This project implements a simple maze solver using DFS and BFS algorithm to find a route that visits all checkpoints (treasures) scattered in the maze (and return to the starting point if enabled). This project is implemented as a C# Application and is built to meet the following specifications.

Prerequisites

  • Windows operating system
  • C# dotnet installed
  • MSBuild installed

Directory Structure

├───bin
├───src
│   ├───assets
│   ├───lib
│   ├───obj
│   │   ├───Debug
│   │   │   └───net6.0-windows
│   │   │       ├───ref
│   │   │       ├───refint
│   │   │       └───theme
│   │   └───Release
│   │       └───net6.0-windows
│   │           ├───ref
│   │           ├───refint
│   │           └───theme
│   └───theme
└───test

How To Compile

  1. Clone this repository.
git clone git@github.com:williamnixon20/Tubes2_zainali.git

or similarly,

git clone https://github.com/williamnixon20/Tubes2_zainali.git
  1. Open terminal and navigate to the root directory of this repository.
  2. Run the following command in terminal.
msbuild src/Tubes2_zainali.csproj /p:OutputPath=..\bin\ /p:Configuration=Release
  1. The resulting executable file will be located at the bin directory.
  2. [Troubleshooting] If the obj files in src are modified or missing, and are causing compile issues, try navigating to src and run
dotnet restore

How To Run

  1. After compiling the program, navigate to the root directory in terminal.
  2. Enter the following command to run the program.
.\bin\Tubes2_zainali.exe

or similarly,

dotnet .\bin\Tubes2_zainali.dll
  1. Alternatively, navigate to the bin folder using Windows Explorer and run Tubes2_zainali.exe.

How To Use Program

Program GUI Demonstration

  1. Compile and run the program.
  2. To load custom maze configurations, create .txt files containing Ks, Ts, Rs, and Xs arranged in a rectangular grid. Configuration file syntax can be referred from sample test cases in test directory.

Guide for Configuration Files
K : Krusty Krab (Start Point), only one start point per maze
T : Treasure, must have at least one treasure per maze
R : Walkable maze path
X : Maze walls

  1. Load configuration file using the File Explorer button or by inputting the file path.
  2. Press Visualize to view the loaded maze.
  3. Choose a search mode for traversing the maze by pressing DFS or BFS. Optionally, use TSP Enabled and Pruning Enabled to toggle TSP mode and Branch Pruning on treasureless dead ends respectively.
  4. Press Search to search for solution. Next, press Next or Prev to view the solution in steps, or use Auto to animate the search process.

Authors

NIM Name GitHub
13521074 Eugene Yap Jin Quan yuujin-Q
13521123 William Nixon williamnixon20
13521155 Kandida Edgina Gunawan kandidagunawan

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