astar pathfinding manhattan distance

A* Pathfinding with Manhattan Distance: An Algorithm Explorer

Unlock the secrets of one of computer science's most famous algorithms. This interactive A* Pathfinding with Manhattan Distance application is not just a game—it's a dynamic educational sandbox designed to visually demystify how AI and game characters find their way through complex environments.

Tool Overview

This web-based simulator provides a clear, step-by-step visualization of the A* ("A-star") search algorithm, specifically utilizing the Manhattan distance heuristic. You have full control over the environment: place walls, set start and goal nodes, and watch as the algorithm intelligently explores the grid, calculates costs, and highlights the most efficient path.

Key Features

Real-Time Visualization: See the algorithm's open set, closed set, and final path update in real-time or step-by-step.
Interactive Grid: Click to toggle walls (obstacles), drag to set the start and target positions.
Manhattan Distance Heuristic: Clearly see how this common heuristic, suitable for grid-based movement, guides the search.
Educational Breakdown: Side panels explain each step, showing the "f = g + h" calculation for selected nodes.
Customization: Adjust grid size and simulation speed to suit your learning pace.
No Code Required: A perfect hands-on introduction to pathfinding for students, hobbyists, and aspiring game developers.
Completely Free: An accessible learning resource available directly online.

How to Use

1. Setup: Use the tools to draw obstacles on the grid. Place the green "Start" node and the red "Goal" node.
2. Run: Press the "Start Search" button. Observe as the algorithm colors nodes: exploring (open set), evaluated (closed set), and finally, the optimal path.
3. Experiment: Try different maze layouts. See how the algorithm behaves with dead-ends and multiple possible routes.

Tool Parameters

Category: Educational, Simulation, Programming Tool
Platform: Web Browser
Input: Mouse
User Mode: Single User Interactive Demo
Price: Free
Core Algorithm: A* (A-star) Search
Heuristic: Manhattan Distance
Primary Goal: Understand and visualize the mechanics of the A* pathfinding algorithm.