Energy-based acoustic localization by improved elephant herding optimization

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dc.contributor.authorCorreia, Sergio D.
dc.contributor.authorBeko, Marko
dc.contributor.authorTomic, Slavisa
dc.contributor.authorDa Silva Cruz, Luis A.
dc.contributor.institutionCOPELABS - Cognitive and People-centric Computing
dc.date.issued2020
dc.descriptionPublisher Copyright: © 2013 IEEE.
dc.description.abstractThe present work proposes a new approach to address the energy-based acoustic localization problem. The proposed approach represents an improved version of evolutionary optimization based on Elephant Herding Optimization (EHO), where two major contributions are introduced. Firstly, instead of random initialization of elephant population, we exploit particularities of the problem at hand to develop an intelligent initialization scheme. More precisely, distance estimates obtained at each reference point are used to determine the regions in which a source is most likely to be located. Secondly, rather than letting elephants to simply wander around in their search for an update of the source location, we base their motion on a local search scheme which is found on a discrete gradient method. Such a methodology significantly accelerates the convergence of the proposed algorithm, and comes at a very low computational cost, since discretization allows us to avoid the actual gradient computations. Our simulation results show that, in terms of localization accuracy, the proposed approach significantly outperforms the standard EHO one for low noise settings and matches the performance of an existing enhanced version of EHO (EEHO). Nonetheless, the proposed scheme achieves this accuracy with significantly less number of function evaluations, which translates to greatly accelerated convergence in comparison with EHO and EEHO. Finally, it is also worth mentioning that the proposed methodology can be extended to any population-based metaheuristic method (it is not only restricted to EHO), which tackles the localization problem indirectly through distance measurements.en
dc.identifier.citationCorreia, S D, Beko, M, Tomic, S & Da Silva Cruz, L A 2020, 'Energy-based acoustic localization by improved elephant herding optimization', IEEE Access, vol. 8, 8984317, pp. 28548-28559. https://doi.org/10.1109/ACCESS.2020.2971787
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2020.2971787
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10437/10344
dc.identifier.urlhttps://www.scopus.com/pages/publications/85079744382
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Access
dc.rightsopenAccess
dc.subjectENGENHARIA ELETROTÉCNICA
dc.subjectENGENHARIA ACÚSTICA
dc.subjectOTIMIZAÇÃO
dc.subjectELECTROTECHNICAL ENGINEERING
dc.subjectACOUSTICAL ENGINEERING
dc.subjectOPTIMIZATION
dc.titleEnergy-based acoustic localization by improved elephant herding optimizationen
dc.typearticle

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