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Published in:
2011 | OriginalPaper | Chapter
Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution
Authors : Ville Tirronen, Sami Äyrämö, Matthieu Weber
Published in: Adaptive and Natural Computing Algorithms
Publisher: Springer Berlin Heidelberg
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Experiences in the field of Monte Carlo methods indicate that the quality of a random number generator is exceedingly significant for obtaining good results. This result has not been demonstrated in the field of evolutionary optimization, and many practitioners of the field assume that the choice of the generator is superfluous and fail to document this aspect of their algorithm. In this paper, we demonstrate empirically that the requirement of high quality generator
does not hold
in the case of Differential Evolution.