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The buttressed walls problem: An application of a hybrid clustering particle swarm optimization algorithm

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The buttressed walls problem: An application of a hybrid clustering particle swarm optimization algorithm

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Nombre: Garcia;Martí;Yepes ...
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dc.contributor.author Garcia, Jose es_ES
dc.contributor.author Martí Albiñana, José Vicente es_ES
dc.contributor.author Yepes, V. es_ES
dc.date.accessioned 2021-02-06T04:32:51Z
dc.date.available 2021-02-06T04:32:51Z
dc.date.issued 2020 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160803
dc.description.abstract [EN] The design of reinforced earth retaining walls is a combinatorial optimization problem of interest due to practical applications regarding the cost savings involved in the design and the optimization in the amount of CO2 emissions generated in its construction. On the other hand, this problem presents important challenges in computational complexity since it involves 32 design variables; therefore we have in the order of 10^20 possible combinations. In this article, we propose a hybrid algorithm in which the particle swarm optimization method is integrated that solves optimization problems in continuous spaces with the db-scan clustering technique, with the aim of addressing the combinatorial problem of the design of reinforced earth retaining walls. This algorithm optimizes two objective functions: the carbon emissions embedded and the economic cost of reinforced concrete walls. To assess the contribution of the db-scan operator in the optimization process, a random operator was designed. The best solutions, the averages, and the interquartile ranges of the obtained distributions are compared. The db-scan algorithm was then compared with a hybrid version that uses k-means as the discretization method and with a discrete implementation of the harmony search algorithm. The results indicate that the db-scan operator significantly improves the quality of the solutions and that the proposed metaheuristic shows competitive results with respect to the harmony search algorithm. es_ES
dc.description.sponsorship The first author was supported by the Grant CONICYT/FONDECYT/INICIACION/11180056, the other two authors were supported by the Spanish Ministry of Economy and Competitiveness, along with FEDER funding (Project: BIA2017-85098-R). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject CO2 emission es_ES
dc.subject Earth-retaining walls es_ES
dc.subject Optimization es_ES
dc.subject Db-scan es_ES
dc.subject Particle swarm optimization es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title The buttressed walls problem: An application of a hybrid clustering particle swarm optimization algorithm es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/math8060862 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-85098-R/ES/DISEÑO Y MANTENIMIENTO OPTIMO ROBUSTO Y BASADO EN FIABILIDAD DE PUENTES E INFRAESTRUCTURAS VIARIAS DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation Garcia, J.; Martí Albiñana, JV.; Yepes, V. (2020). The buttressed walls problem: An application of a hybrid clustering particle swarm optimization algorithm. Mathematics. 8(6):862-01-862-22. https://doi.org/10.3390/math8060862 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/math8060862 es_ES
dc.description.upvformatpinicio 862-01 es_ES
dc.description.upvformatpfin 862-22 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 6 es_ES
dc.identifier.eissn 2227-7390 es_ES
dc.relation.pasarela S\413520 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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