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

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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.

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Authors and Affiliations

  1. Department of Mathematics, Jaypee Institute of Information Technology, Noida, India

    Pravesh Kumar

  2. Department of Applied Science and Engineering, IIT Roorkee, Roorkee, India

    Millie Pant

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  1. Pravesh Kumar
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  2. Millie Pant
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Correspondence to Pravesh Kumar.

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Kumar, P., Pant, M. Recognition of noise source in multi sounds field by modified random localized based DE algorithm. Int J Syst Assur Eng Manag 9, 245–261 (2018). https://doi.org/10.1007/s13198-016-0544-x

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  • DOI: https://doi.org/10.1007/s13198-016-0544-x

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