Recognition of noise source in multi sounds field by modified random localized based DE algorithm

Pravesh Kumar () and Millie Pant ()
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Pravesh Kumar: Jaypee Institute of Information Technology
Millie Pant: IIT Roorkee

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 1, No 25, 245-261

Abstract: Abstract Differential evolution (DE) algorithm is come out as a leading tool for solving many real life optimization problems since last few years. Modified random localized DE (MRLDE) is an enhance variant of DE algorithm use strategically way for selecting vectors to generate mutation vector. In this paper MRLDE is applied to a real life application of recognizing the location of noisy sources in multi noise plants which is an essential and prerequisite for noise control work. A trail noise method is utilized to find the variation between exact sound pressure level SPL and trial SPL at monitoring points and then MRLDE is implemented in combination with the technique of minimizing variation square in searching for the best locations and sound power level (SWLs). The experimental results expose that the significant SWLs and locations of noisy sources can be accurately detected by MRLDE.

Keywords: Differential evolution; Global optimization; MRLDE; Noise source recognition (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s13198-016-0544-x

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