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Publication Type : Book Chapter
Publisher : Intelligent Systems Technologies and Applications.
Source : Intelligent Systems Technologies and Applications: Volume 1, Springer International Publishing, Cham, p.305–313 (2016)
ISBN : 9783319230368
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2016
Abstract : This paper intends to investigate the sensitivity of Differential Evolution (DE) algorithm towards Pseudo Random Number Generator (PRNG) quality. Towards this, the impact of six PRNGs on the performance quality of 14 DE variants in solving nineteen 10-Dimensional benchmark functions has been studied. The results suggest that DE algorithm is insensitive to the quality of PRNG used.
Cite this Research Publication : L. Rajashekharan and Dr. Shunmuga Velayutham C., “Is Differential Evolution Sensitive to Pseudo Random Number Generator Quality? – An Investigation”, in Intelligent Systems Technologies and Applications: Volume 1, S. Berretti, Thampi, S. M., and Srivastava, P. Ranjan, Eds. Cham: Springer International Publishing, 2016, pp. 305–313.