Round table arrangemnet solution using Genetic Algorithm, Simulated Annealing, and Hill Climbing (Metaheuristic)
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Updated
Jul 19, 2024 - Jupyter Notebook
Round table arrangemnet solution using Genetic Algorithm, Simulated Annealing, and Hill Climbing (Metaheuristic)
Optimizing a round table seating arrangement using algorithms including: Genetic Algorithm, Simulated Annealing Algorithm, and Hill Climbing Algorithm.
It is a GUI AI Path finder that is based on Romania map that highlights the path from any city of Romania to Bucharest, working on Hill Climbing Algorithm.
A Artificial Intelligence course project within the curriculum of the Data Science specialization at UEH University.
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
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