Example programs for usage of the Chips-n-Salsa library
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Updated
Jun 3, 2024 - Java
Example programs for usage of the Chips-n-Salsa library
Una rivisitazione del gioco Flappy Bird con intelligenza artificiale sviluppata come progetto per l'insegnamento di Fondamenti di Intelligenza Artificiale, del corso di Laurea in Informatica dell'Università degli Studi di Salerno.
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
This project was presented for the Artificial Intelligence course for the academic year 2022/2023. It explores various methods to solve the N-Queens problem, including Random Search, Backtracking, Hill-Climbing, Simulated Annealing, and Genetic Algorithms. Each method is evaluated for its efficiency and effectiveness in finding solutions.
Python bindings for OptFrame C++ Functional Core
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach
An attempt to create the perfect AI for the Snake game 🐍
The objective of this practice is to solve a problem of a Distributed File System using two local search algorithms. Hill Climbing Simulated Annealing
Artificial Intelligence (IA) First Project
Unity Game Engine is Used for game development, scene management, and physics simulation of Hill Climb Racing. C# is the primary programming language for game logic and scripting.
Generating UI color palettes using nature-inspired algorithms like Hill Climbing, Simulated Annealing, and Genetic Algorithms. 🎨🤖
This includes heuristic algorithms for solving search and optimization problems, such as hill climbing, meta heuristics, evolutionary algorithms, etc.
Python package made primarily for gatech cs7641 assignment2
This repository seeks to optimize bikes distribution of a public bicycle renting service across city stations using local search algorithms like Hill Climbing and Simulated Annealing, aiming to minimize costs and efficiently meet demand. It includes tools to visualize the distribution and showcases the utility of AI in urban logistics.
Solving Cutting Stocks Problem using SA, Hill Climbing, and Genetic algorithms.
Installer code for Geometrize, an app for geometrizing images into geometric primitives
Minimal example using the Geometrize library, a tool for geometrizing images
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