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BFS, Greedy Best-First Search, Dijkstra and A* path finding algorithms
This is an Artificial Intelligence project which solves the 8-Puzzle problem using different Artificial Intelligence algorithms techniques like Uninformed-BFS, Uninformed-Iterative Deepening, Informed-Greedy Best First, Informed-A* and Beyond Classical search-Steepest hill climbing.
Visualization of A* Search, Greedy BFS and Djikstra Search execution
University course exercises
A pathfinding visualizer for different pathfinding algorithms
Path finding visualisation using javascript
Repository for the S5 AI Algorithms (2019 Scheme) at Kerala Technological University (KTU), featuring practical experiments on AI Algorithms like Basic search strategies, informed search algorithms, constraint satisfaction problems. etc.,
maze generator and pathfinding visualizer
This repo contains the source code for Microsoft-Engage-2020 Mentorship Programme. The repository consists of two projects namely path finding and tic-tac-toe
This Python script implements the Greedy Best-First Search (GBFS) algorithm to solve a maze using the Turtle graphics library. The program visually represents the maze and the search process, allowing users to observe how the algorithm explores paths to find a solution based on heuristic evaluation.
A* in Unity if you need to do it yourself
Given the size n, initial state, and search method, you can solve a sliding puzzle through the use of BFS, DFS, GBFS, and/or AStar.