Implementation for A-star and BFS Algorithms to solve a NxN grid sliding puzzle problem.
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Updated
Mar 18, 2018 - Python
Implementation for A-star and BFS Algorithms to solve a NxN grid sliding puzzle problem.
this a python BFS , A* and RBFS implementation of 8 puzzle
Python code for finding Max Flow in a directed graph.
We optimize SIEP algorithm in multiple intelligent agents scenario and comparatively research A*, DFS, BFS, Dijkstra, PFP and PRM.
this project combines various AI algorithms to provide visualization and functionality for search algorithms, a game (CONNECT4) using min-max algorithms, and a Constraint Satisfaction Problem (CSP) solver. This toolbox aims to provide a comprehensive understanding of these AI techniques through interactive visualizations and practical examples.
Using heuristic search Best-First and A* with BFS (with manhatan distance) methods to solve 8-puzzle
🚗 AI-powered Rush Hour puzzle solver with Pygame GUI. Features BFS, DFS, UCS & A algorithms to solve traffic jam puzzles. Compare AI performance metrics, play manually, or watch automated solutions. Educational tool for learning search algorithms.
👁🗨🧠 Artificial Intelligence search project implementing IDS, Bidirectional BFS and A*.
N-Puzzle implementation with BFS, DFS, Greedy and A*
We present an algorithm based on DBM that takes into account the stochastic nature of dielectric breakdown during the formation of Lichtenberg figures.
A simple tkinter GUI for illustrating DFS and BFS.
A program to solve a maze using Breadth First Search (BFS) and Depth First Search (DFS).
This repository contains Data structures and Algorithms in Python.
SUSTech CS course artificial intelligence, including 4 seperated project
Evaluating different algorithms on the same fruit spawn seed in snake game. Genetic Algorithm vs BFS vs A* vs DFS.
Search Engine Implemented in Python. Components : Web Crawler. Indexer. Parser. Page Ranking Algorithm
Robot that cleans room from dirts. Finds the optimum path eventually. Same algorithms are applied as in finding path to escape a maze.
All Artificial Intelligence Search algorithms. Depth first search, Breadth first search, uniform cost search, Greedy search, A star search, Minimax and Alpha beta pruning. Implemented in Python 3.
PySiteCrawler is a Python library for web crawling and data extraction. It's designed for exploring web pages, extracting text, and managing links efficiently. You can easily store scraped data in .txt files for analysis. Future updates will add more traversal strategies.
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