Article ID Journal Published Year Pages File Type
4943669 Expert Systems with Applications 2017 12 Pages PDF
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
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