Research on Sudoku Puzzles Based on ...
URL: http://www.sjmmf.org/paperInfo.aspx?ID=5092
In the last few years, there has been explosive growth in the application of meta-heuristics algorithm for solving Sudoku puzzles in computer science. In this paper we present a hybrid genetic algorithm (HGA) that uses a “random” technology to improve the performance of genetic algorithm. We also show the performance of the algorithms for solving Sudoku puzzles with 46 different examples. The experimental results indicate that HGA is able to produce very competitive results with respect to meta-heuristics algorithm at a considerably lower computational cost.
There are no views created for this resource yet.
Additional Information
| Field | Value |
|---|---|
| Last updated | unknown |
| Created | unknown |
| Format | unknown |
| License | Other (Open) |
| Created | over 12 years ago |
| id | 05e0d220-e7f3-4d33-b110-aed3c929031e |
| package id | 907bf36e-11d0-4209-9561-bbf9141b2e0d |
| position | 17 |
| resource type | file |
| revision id | 29259625-9738-469a-93ee-ac8aa43d208e |
| state | active |
