Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Feb 2017
Next issue: May 2017
Avg review time: 76 days


PUBLISHER

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

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


TRAFFIC STATS

1,591,660 unique visits
489,884 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 17 (2017)
 
     »   Issue 1 / 2017
 
 
 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
  View all issues  


FEATURED ARTICLE

Broken Bar Fault Detection in IM Operating Under No-Load Condition, RELJIC, D., JERKAN, D., MARCETIC, D., OROS, D.
Issue 4/2016

AbstractPlus






LATEST NEWS

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
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 "Big Data - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

Read More »


    
 

  2/2013 - 12

System Optimization Using a Parallel Stochastic Approach

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, 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 on 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 (525 KB) | Citation | Downloads: 314 | Views: 1,567

Author keywords
stochastic optimization, parallel approach, Matlab

References keywords
optimization(12), 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: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 73 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02012
Web of Science Accession Number: 000322179400012
SCOPUS ID: 84878912821

Abstract
Quick view
Full text preview
This paper describes an original stochastic algorithm based on a parallel approach. The algorithm is suitable especially for a real technical system optimization. A few independent pseudorandom generators are used. They generate independent variable vectors along all of the optimized system axes. Local optimal values are used to define a final pseudorandom generator with a narrower interval around the global optimum. Theoretical foundations are introduced and a few practical experiments are presented. The described method is also suitable for the quality classification of the pseudorandom generators using the selected RGB color scheme. Main advantages of this approach are discussed. The algorithm was developed in the MATLAB environment.


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

[1] S. S. Rao, Engineering Optimization. Theory and Practice. John Wiley&Sons, Inc., 2009.

[2] R. Baldick, Applied optimization. Cambridge university Press, 2006.
[CrossRef] [SCOPUS Times Cited 41]


[3] P. Venkataraman, Applied optimization with MATLAB programming, John Wiley&Sons, Inc., 2009.

[4] U. Diwekar, Introduction to Applied Optimization. Springer, 2008.
[CrossRef]


[5] K. Zaplatilek, "Analogue filter group delay optimization using a stochastic approach," International Journal of Numerical Modelling, 2010, vol. 23, no. 3, pp. 215-230.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[6] R. Storn, "Differential Evolution Design of an IIR-Filter with Requirements for Magnitude and Group Delay," Technical Report TR-95-026, ICSI, May 1995.

[7] 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] [Web of Science Times Cited 289]


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

[9] R. Chelouah, P.A. Siarry, "A continuous genetic algorithm designed for the global optimization of multimodal functions," Journal of Heuristic, 2000, vol. 6, no. 2, pp. 191-213.
[CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 165]


[10] Q. Zhang, J. Sun, E. 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 39] [SCOPUS Times Cited 48]


[11] K. Zaplatilek, M. Talpa, J. Leuchter, "Optimization Algorithms Testing and Convergence by Using a Stacked Histogram," Advances in Electrical and Computer Engineering, 2011, vol. 11, no. 1. pp. 11-16.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


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

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

[14] R. Shaumann, M. S. Ghausi, K. R. Laker, Design of Analog Filters. Prentice Hall, New Jersey, 1990.

[15] M. J. D. Powell, S. Scholtes, "Modelling and Optimization: Methods, Theory and Applications," in Proc. 19th IFIP TC7 Conference on System Modelling and Optimization, Cambridge, 1999.

[16] [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 467 TCR
SCOPUS® Citations for all references: 259 TCR

Web of Science® Average Citations per reference: 27 ACR
SCOPUS® Average Citations per reference: 15 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 2017-04-25 06:32 in 53 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: