AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects
Solve Sudoku with Python using the CSF approach
second project at AUT Artificial Intelligence course (Fall 2020)
CSP-Sudoku solver
A futoshiki solver tool using backtracking with some pruning methods.
This project is a sudoku-solver implement by Constraint satisfaction problem. We add the colour option to our sudoku problem as if the number of a place is bigger than other neighbours, the colour of that place must be higher in a given colour's priority. We use the Constraint satisfaction problem(CSP), as we said before, in additional apply deg…
Solve Sudoku as a Constraint Satisfaction Problem
we slove sudoku tables as a CSP problem using Backtrack algorithm with forward Checking and MRV and Degree heuristics.
Solving Sudoku puzzle with CSP
This project solves a Futoshiki Board given an input files using the least number of moves. Backtracking, forward checking, the mrv heuristic, and the degree heuristic was used.
Backtracking Algo optimized with forward checking, MRV heuristics, degree heuristics and LCV-heuristics
An AI for solving Sudoku. 🤖 ⚡️
A program to solve Sudoku with Backtracking.
CSP Map Coloring
This is a sudoku solver by doing backtracking search with forward checking using an MRV and degree heuristic. This was worked on in a group of myself and two other members.
Add a description, image, and links to the degree-heuristic topic page so that developers can more easily learn about it.
To associate your repository with the degree-heuristic topic, visit your repo's landing page and select "manage topics."