Deng, X. Q., Li, Y.D.: A novel hybrid genetic algorithm for solving Sudoku Puzzles. Optimization Letters7, pp. 241-257(2013).X. Q. Deng and Y. Da Li, "A novel hybrid genetic algorithm for solving Sudoku puzzles," Optimization Letters, vol. 7, pp. 241-257, 2013....
Results have been demonstrated to work on various generalized (and normal) sudoku puzzles but obviously your mileage may vary depending on the difficulty of the sudoku puzzle presented. This repository was more of a relaxing exercise in creating a MCMC program and more efficient and robust methods ...
Our goal is to establish models to generate Sudoku puzzles ofbr /varying difficulty, which are as enjoyable as hand-made ones. As we believe that puzzles generated by simulating thebr /design process of hand-made ones will also be of much enjoyment, we established our first model -No Brute...
Sudoku In this demo we take the well-known game of Sudoku, and demonstrate how developers can use HTML5 and JavaScript to create an efficient algorithm to solve these puzzles. The algorithms draw heavily on the Chakra engine’s support for ECMAScript 5 standard array operations to rapidly solve...
The same authors hybrid in (Abdel-Raouf, Abdel-Baset, & El-henawy, 2014b) the FP algorithm with the HS algorithm to solve the Sudoku Puzzles. In Prathiba, Balasingh, and Moses (2014), different economic load dispatch problems have been handled using the FP algorithm. In Platt (2014) ...
James McCaffrey explains how write a program to solve difficult Sudoku problems, using a technique he calls combinatorial evolution, a set of general guidelines that can be used to design a concrete algorithm to solve a specific optimization problem. ...
Abdel-Raouf O, El-Henawy I, Abdel-Basset M (2014a) A novel hybrid flower pollination algorithm with chaotic harmony search for solving sudoku puzzles. Int J Mod Educ Comput Sci 6:38 Article Google Scholar Abdel-Raouf O, Abdel-Basset M, El-Henawy I (2014b) An improved flower pollination...
Examples include solving the N-Queens problem and puzzles like sudoku. Machine Learning Algorithm These are designed to allow computers to learn from data and make predictions or decisions. They can be further divided into categories like supervised learning, unsupervised learning, reinforcement learning...
Graph coloring arises in a variety of practical areas including scheduling (Marx, 2004), frequency assignment (Hale, 1980), sudoku puzzles (Lewis, 2015), and more. As an example to a graph coloring application, suppose that we have a set of tasks, which take place in predetermined and ...
On the other hand, graph isomorphism is what computer scientists call a “universal” problem: Every possible problem about whether two “combinatorial structures” are isomorphic—for example, the question of whether two different Sudoku puzzles are really the same underlying puzzle—can be recast as...