Readme.md

Random Maze Generation and A* Pathfinding Visualization

This project implements a random maze generator and visualizes the solution to the maze using the A* pathfinding algorithm. The maze is generated, rendered as an image, and the path from the start point to the end point is found and highlighted in the image.

Overview

The main components of this project are:

• Maze Generation: A random maze is generated using recursive backtracking.
• A Algorithm*: The A* algorithm is utilized to find the shortest path from the start to the end of the maze.
• Image Rendering: The maze and its solution are rendered as a PNG image, where:
  • Walls are represented in red.
  • The start point is marked in green.
  • The end point is marked in blue.
  • The path found by the A* algorithm is displayed in yellow.

File Structure

• main.go: The entry point of the application. It generates the maze, saves the image, parses it to extract the start and end points, and finds the path using the A* algorithm.
• astar/: Contains the implementation of the A* algorithm, including priority queue management, pathfinding logic, and utility functions for parsing and rendering images.
• maze/: Contains the maze generation logic and image rendering functions.

How to Run

To run the project, ensure you have Go installed on your machine. Then, execute the following commands:

go run main.go

This will generate a maze, save it as maze.png, and display the path found by the A* algorithm.

A* Algorithm

The A* (A-star) algorithm is a popular pathfinding and graph traversal algorithm. It is used for finding the shortest path from a starting node to a goal node while considering the costs of the edges between nodes. Key Features

• Heuristic Search: A* uses a heuristic to estimate the cost from the current node to the target, which helps in efficiently finding the path.
• Optimality: The algorithm guarantees the shortest path when the heuristic used is admissible, meaning it never overestimates the cost to reach the goal.

A* Algorithm Pseudocode

• 1.Initialize the open set with the start node.

• 2.While the open set is not empty:

  • Get the node with the lowest f score (where f = g + h).
  • If the current node is the goal, reconstruct the path.
  • Otherwise, move it from the open set to the closed set.
  • For each neighbor of the current node:
    • Calculate the g, h, and f scores.
    • If the neighbor is not in the closed set and not a wall, add it to the open set.

Maze Generation

The maze is generated using a randomized recursive backtracking algorithm:

• Start with a grid of walls.
• Randomly select a starting point and mark it as a path.
• Recursively visit neighboring cells, carving paths as you go.
• Ensure that there are no isolated sections in the maze.

References

A Algorithm*:

• Wikipedia - A* Search Algorithm
• Introduction to A* - From Amit’s Thoughts on Pathfinding

Maze Generation:

• Wikipedia - Maze Generation Algorithms