Undergraduate
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Updated
Jun 16, 2024 - Python
Undergraduate
This Python package provides implementations of three metaheuristic algorithms to solve the Traveling Salesman Problem (TSP): Steepest Ascent Hill Climbing, Simulated Annealing, and Ant Colony Optimization.
A Sokoban game with different naming style (SokoFarm)
Artificial Intelligence with Python
🚀 Welcome to my AI repo! Explore implementations of diverse AI algorithms. 🤖 Beginner-friendly code for various techniques. Join me in the exciting world of AI learning! 💻📚 #AI #BeginnerFriendly
Building evacuation with python
This Repository Contains projects I did for my COMP472: Artificial Intelligence.
Solving the N_Queens Problem Using Various Algorithms in Python
Introduction to Artificial Intelligence (LEI)
A hill-climbing algorithm is an Artificial Intelligence (AI) algorithm that increases in value continuously until it achieves a peak solution. This algorithm is used to optimize mathematical problems and in other real-life applications like marketing and job scheduling.
This repository contains the algorithm for the Hill Cipher encryption which use the matrix to encrypt the message and even to decrypt it using the inverse of the same matrix ,this algorithm uses the python program to implement it and of course we can use any language to implement it ,
Enigma machine simulator + cipher breakers
A project for Fundamental of Optimization class at HUST, Winter 2022
A hill climbing algorithm implemented in javascript
Solving Traveling Saleman Problem Using genetic, simulated annealing and Hill climbing algorithms
🧬 Trabalho da cadeira de Inteligência Artificial (CC0027).
Implementation of Hill Climbing algorithm to Traveling Salesman Problem
A javascript implementation of the N-Queens problem solved using hill-climbing search algorithm
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