Java Sudoku solver using AC3, Forward checking and Backtracking algorithms
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Updated
Jun 4, 2016 - Java
Java Sudoku solver using AC3, Forward checking and Backtracking algorithms
🔢 A parallelized Sudoku solver implemented with various solving algorithms in C++
Example lecture for Constraint Satisfaction Problems in an interactive jupyter notebook. With python code to solve CSPs, with visualization of Sudoku and NQueens problems.
Solves KenKen puzzles, by representing it as a Constraint Satisfaction Problem (CSP)
This repository contains generic platform for solving and benchmarking computational puzzles using different search strategies
This code was submitted as programming project two for ITCS 6150 Intelligent Systems under Dr. Dewan Ahmad at the University of North Carolina at Charlotte for the fall 2021 semester. The aim is to solve the constraint satisfaction problem of map coloring for the USA and Australia.
Project to learn and understand backtracking algorithms with the goal to solve a crossword puzzle
Forward checking with MRV and Hill climbing algorithm with Min-conflicts
A Kenken puzzle generator & solver
Artificial Intelligence Course 3rd Project: Implementing CSP Backtracking, Forward Checking and MAC Algorithms in order to solve a binary puzzle
Implementation of Constraint Solvers in Java
Contains notebook implementations for the AI based assignments using graph based algorithms that are commonly used in solving AI based problems. Algorithms include BFS, DFS, Hill Climbing, Differential Evolution, Genetic, Back Tracking..
Python code to solve Jigsaw Sudoku using backtracking with look forward (Forward Checking) and model dependant ordinal strategies
sudoku resolving using AI algorithms
Backtracking and forward-check algorithms for problem solving. Examples for sudoku, map coloring and Einstein's problem.
This was a university AI project where I had to implement different constraint satisfaction problem methods and use them to solve sudoku puzzles
A solution centered around AI-driven scheduling, designed to optimize staff allocation, enhance patient care, and streamline hospital operations. It integrates advanced scheduling algorithms that prioritize staff preferences, ensure designated days off, and dynamically allocate doctors, nurses, and receptionists based on demand and availability.
Artificial Intelligence Projects
Solving resource management problem using backtracking,back jumping and forward checking. Edit Add topics
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