| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4943669 | Expert Systems with Applications | 2017 | 12 Pages |
Abstract
To test the proposed algorithm, the results obtained from it are compared to the results obtained from a known pseudo-random generator and it is shown that the solutions obtained with the proposed algorithm are better, for time and frequency domain, if the number of samples required is limited. It is also shown that the proposed algorithm consumes a time comparable to the pseudo-random generator to reach solutions that are better than the ones obtained with that kind of algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mateus Giesbrecht, Celso Pascoli Bottura,