IUG Timetabling Using Evolutionary Strategy With Shotgun Hill-Climbing Algorithms
Artificial Intelligence with Python
8-Queens puzzle implementation with Hill Climbing(Random Restart) Algorithm
A project for Fundamental of Optimization class at HUST, Winter 2022
Solving the N_Queens Problem Using Various Algorithms in Python
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 ,
Tasks for a college course titled Biologically Inspired Algorithms
Repository for Artificial Intelligence course assignment, labs and practice.
N-Queen(s) Problem implemented using Hill Climbing Algorithm in Python Language
Google Hashcode 2018 developed using different algorithms (Genetic, Hill Climbing, Simulated Annealing, Greedy)
A Python simulation of a smart elevator system using a Hill Climbing algorithm and heuristics to minimize passenger wait times. Visualized in real-time with Pygame.
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.
🚀 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
A Artificial Intelligence course project within the curriculum of the Data Science specialization at UEH University.
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.
Using two powerful local search algorithms to find a solution for the popular 8-queen problem.
Solving Traveling Saleman Problem Using genetic, simulated annealing and Hill climbing algorithms
Project made in Python for Inteligência Artificial, a course in the Informatics Engineering and Computing Bachelor’s program @ FEUP.
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