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recently introduced concept of compact Differential Evolution as a search unit. . truncated Gaussian PDF characterized by a mean value µ [i] and a standard deviation ? [i] is associated. The formula of the PDF is: PDF (µ [i] ,? [i]) = = e. ?. (x?µ[i])2. 2?[i]2 .. memetic differential evolution frameworks," Soft Computing-A Fusion.
Iacca G, Caraffini F, Neri F. Compact differential evolution light: High performance despite limited memory requirement . This memetic approach, namely Memetic .. sian PDF in (4). The three sampled solutions are then combined by means of (1), or other mutation formulas, for generating a provisional offspring xoff.
15 Apr 2010 In this way, the memetic logic of performing the optimization by observing the decision space from complementary perspectives can be integrated within computational devices characterized by a limited memory. The proposed algorithm, namely Memetic compact Differential Evolution (McDE), has been
25 Feb 2011 Issues in Memetic Computing, and by Tekes (the Finnish Funding Agency for Technology and Innovation), under This paper proposes a compact differential evolution (cDE) algorithm. Although the general . Gaussian probability distribution function (PDF) truncated within the interval [?1, 1]. The height of
The proposed algorithm, namely Memetic compact Differential Evolution (McDE), has been tested and compared with other algorithms belonging to the same .. The height of the 0.5 1 F 1 1 2 . of a Gaussian Probability Distribution Function (PDF) where for a given value of F, the parameter K is set equal to PDF has been
(PDF) characterized by a mean value µ[i] and a stan- dard deviation ?[i] is The proposed approach, namely Composed compact Differential Evolution, Algorithmic Design Issues in Memetic Computing and Tutkijatohtori 140487, This paper proposes the compact differential evolution (cDE) algorithm. optimization and more
15 Feb 2011 This paper proposes a Memetic Computing approach, namely Disturbed Exploitation compact Differential Evolution (DEc-. DE), in order to address the class of From the PDF, the corresponding Cumulative Distribution Function (CDF) is constructed by means of Chebyshev polyno- mials according to the
20 Dec 2017 Full-text (PDF) | This paper proposes a novel algorithm for solving continuous complex optimization problems with a relatively low memory consumption. The proposed approach, namely Composed compact Differential Evolution, consists of a set of compact Differential Evolution units which simultaneou
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Advances in compact Differential Evolution. Postgraduate Seminar. Giovanni Iacca. University of Jyvaskyla, Faculty of Information Technology. Department of Mathematical Information Technology. December 9th 2010

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February 2018