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A New Optimization Algorithm Based on Search and Rescue Operations

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A New Optimization Algorithm Based on Search and Rescue Operations

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dc.contributor.author Shabani, Amir es_ES
dc.contributor.author Asgarian, Behrouz es_ES
dc.contributor.author Gharebaghi, Saeed Asil es_ES
dc.contributor.author Salido Gregorio, Miguel Angel es_ES
dc.contributor.author Giret Boggino, Adriana Susana es_ES
dc.date.accessioned 2021-02-17T04:31:54Z
dc.date.available 2021-02-17T04:31:54Z
dc.date.issued 2019-11-03 es_ES
dc.identifier.issn 1024-123X es_ES
dc.identifier.uri http://hdl.handle.net/10251/161598
dc.description.abstract [EN] In this paper, a new optimization algorithm called the search and rescue optimization algorithm (SAR) is proposed for solving single-objective continuous optimization problems. SAR is inspired by the explorations carried out by humans during search and rescue operations. The performance of SAR was evaluated on fifty-five optimization functions including a set of classic benchmark functions and a set of modern CEC 2013 benchmark functions from the literature. The obtained results were compared with twelve optimization algorithms including well-known optimization algorithms, recent variants of GA, DE, CMA-ES, and PSO, and recent metaheuristic algorithms. The Wilcoxon signed-rank test was used for some of the comparisons, and the convergence behavior of SAR was investigated. The statistical results indicated SAR is highly competitive with the compared algorithms. Also, in order to evaluate the application of SAR on real-world optimization problems, it was applied to three engineering design problems, and the results revealed that SAR is able to find more accurate solutions with fewer function evaluations in comparison with the other existing algorithms. Thus, the proposed algorithm can be considered an efficient optimization method for real-world optimization problems. es_ES
dc.description.sponsorship This study was partially supported by the Spanish Research Project (nos. TIN2016-80856-R and TIN2015-65515-C4-1-R). es_ES
dc.language Inglés es_ES
dc.publisher Hindawi Limited es_ES
dc.relation.ispartof Mathematical Problems in Engineering es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A New Optimization Algorithm Based on Search and Rescue Operations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2019/2482543 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2016-80856-R/ES/TECNOLOGIAS INTELIGENTES PARA LA RESOLUCION CENTRALIZADA Y DISTRIBUIDA DE PROBLEMAS DE SCHEDULING SOSTENIBLE EN PROCESOS INDUSTRIALES Y LOGISTICOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Shabani, A.; Asgarian, B.; Gharebaghi, SA.; Salido Gregorio, MA.; Giret Boggino, AS. (2019). A New Optimization Algorithm Based on Search and Rescue Operations. Mathematical Problems in Engineering. 2019:1-23. https://doi.org/10.1155/2019/2482543 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1155/2019/2482543 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 23 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2019 es_ES
dc.relation.pasarela S\398796 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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