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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  1/2011 - 2

Optimization Algorithms Testing and Convergence by Using a Stacked Histogram

ZAPLATILEK, K. See more information about ZAPLATILEK, K. on SCOPUS See more information about ZAPLATILEK, K. on IEEExplore See more information about ZAPLATILEK, K. on Web of Science, TALPA, M. See more information about  TALPA, M. on SCOPUS See more information about  TALPA, M. on SCOPUS See more information about TALPA, M. on Web of Science, LEUCHTER, J. See more information about LEUCHTER, J. on SCOPUS See more information about LEUCHTER, J. on SCOPUS See more information about LEUCHTER, J. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (924 KB) | Citation | Downloads: 1,237 | Views: 3,340

Author keywords
MATLAB, convergence, optimization, stacked histogram, stochastic system

References keywords
zaplatilek(4), optimization(4), group(4), delay(4), algorithm(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01002
Web of Science Accession Number: 000288761800002
SCOPUS ID: 79955947165

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The article describes an original method of optimization algorithms testing and convergence. The method is based on so-called stacked histogram. Stacked histogram is a histogram with its features marked by a chosen colour scheme. Thus, the histogram maintains the information on the input digital sequence. This approach enables an easy identification of the hidden defects in the random process statistical distribution. The stacked histogram is used for the testing of the convergent quality of various optimization techniques. Its width, position and colour scheme provides enough information on the chosen algorithm optimization trajectory. Both the classic iteration techniques and the stochastic optimization algorithm with the adaptation were used as examples.

References | Cited By  «-- Click to see who has cited this paper

[1] P. Ziska, M. Laipert, "Analog Group Delay Equalizers Design based on Evolutionary Algorithm," Radioengineering, 2006, vol. 15, no. 1, pp. 1-5.

[2] K. Deb, A. Anand, D. Joshi, "A computationally efficient evolutionary algorithm for real parameter optimization," Evolutionary Computation Journal, 2002, vol. 10, no. 4, pp. 371-395.
[CrossRef] [PubMed]

[3] K. Zaplatilek, "Analogue Filter Group Delay Optimization Using a Stochastic Approach," International Journal of Numerical Modelling, 2010, vol. 23, no. 3, pp. 215-230.

[4] K. Zaplatilek, P. Ziska, K. Hajek, " Practice Utilization of Algorithms for Analog Filter Group Delay Optimization," Radioengineering, April 2007, vol. 16, no. 1, pp. 7-15.

[5] K. Zaplatilek, K. Hajek, "Efficient Algorithm for Group Delay Equalization of Analogue Filters," Proc. of GSPx - International Signal Processing Conference, April 2003, Dallas, TX, USA.

[6] Q. Zhang, J. Sun, E. P. K. Tang, J.A. Ford, "Hybrid estimation of distribution algorithm for global optimization," Engineering Computations, 2003, vol. 21, no. 1, pp. 91-107.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 69]

[7] J. H. Mathews, K. K. Fink, "Numerical Methods Using MATLAB," Prentice-Hall Inc., 2004. [PermaLink]

[8] M. Talpa, K. Zaplatilek, "Histogram with higher information capacity," Elektrorevue, 2010, no. 62, 5p. Available: Published in Czech.

References Weight

Web of Science® Citations for all references: 48 TCR
SCOPUS® Citations for all references: 69 TCR

Web of Science® Average Citations per reference: 5 ACR
SCOPUS® Average Citations per reference: 8 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-02-21 02:41 in 16 seconds.

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