A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
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Updated
Aug 13, 2024 - Java
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search
Hill Climbing / Simulated Annealing / Genetic / ...
Hill Climbing and Hill Climbing With Random Restart implemented in Java.
An Android App that solves the TSP using three different algorithms from the machine learning field.
local search and optimization algorithms are used in AI with a map coloring example | AI course - Fall 2018
Example programs for usage of the Chips-n-Salsa library
Solving Shelf Assigning Problem with Hill Climbing, Simulated Annealing and Genetic Algorithms
La résolution du problème de 8 reines avec l'algorithme HillClimbing
Projet d'intelligence artificielle M1 MIAGE DAUPHINE
Enigma machine simulator + cipher breakers
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.
Generic implementation of AI local search algorithms with sample problems
Solving algorithms on N queens problem
This includes heuristic algorithms for solving search and optimization problems, such as hill climbing, meta heuristics, evolutionary algorithms, etc.
The objective of this project is to solve a problem of a Distributed File System using two local search algorithms. Hill Climbing Simulated Annealing
This app calculate the optimized route between multiple locations added by user on google maps. stating position and ending position remains same. It gives you a optimized sequence of places to travel so that all places could be covered in minimum distance exactly once. This project is sub part of my another project Carbon Footprint Calculator.
Implementation of Hill Climbing algorithm to Traveling Salesman Problem
Second Year project (Module: Artificial Intelligence Methods), focusing on implementing and evaluating AI Optimisation methods.
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