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System Optimization Using a Parallel Stochastic ApproachZAPLATILEK, K. , LEUCHTER, J.
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stochastic optimization, parallel approach, Matlab
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
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.
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Digital Object Identifier: 10.4316/AECE.2015.01010 [CrossRef] [Full text]
 Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems, Canayaz, Murat, Karci, Ali, Applied Intelligence, ISSN 0924-669X, Issue 2, Volume 44, 2016.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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