Exploring the frontier of intelligent navigation. A comprehensive sandbox for heuristic search and swarm intelligence algorithms.
The A* algorithm is the gold standard for pathfinding in games and robotics. It combines the power of Dijkstra's algorithm (distance from start) with a greedy best-first search (distance to end) to find the absolute shortest path with surgical precision.
Click and drag to draw walls. Move the green (Start) and orange (End) nodes.
The cornerstone of pathfinding. A* uses both the cost to reach a node (g) and an estimated cost to the goal (h) to find the most efficient path. It is complete, optimal, and efficient.
f(n) = g(n) + h(n)
Inspired by nature, ACO simulates the behavior of ants laying pheromones. Over time, the strongest pheromone trails emerge as the optimal paths, perfect for dynamic environments.
Backend logic utilizing NumPy for fast grid computation and Tkinter for native visualization.
Real-time frontend written in Vanilla JavaScript with asynchronous animation loops for fluid visualization.
State-action-reward interfaces designed for Reinforcement Learning (RL) training loops.