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Multi-objective optimization design of bridge piers with hybrid heuristic algorithms

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dc.contributor.author Martínez Martín, Francisco Joaquín es_ES
dc.contributor.author González Vidosa, Fernando es_ES
dc.contributor.author Hospitaler Pérez, Antonio es_ES
dc.contributor.author Yepes Piqueras, Víctor es_ES
dc.date.accessioned 2015-04-17T11:41:36Z
dc.date.available 2015-04-17T11:41:36Z
dc.date.issued 2012-06
dc.identifier.issn 1673-565X
dc.identifier.uri http://hdl.handle.net/10251/48931
dc.description.abstract This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multiobjective simulated annealing (SA) algorithm with a neighborhood move based on the mutation operator from the genetic algorithms (GAs), namely MOSAMO1, MOSAMO2 and MOSAMO3. The procedure is applied to three objective functions: the economic cost, the reinforcing steel congestion and the embedded CO2 emissions. Additional results for a random walk and a descent local search multi-objective algorithm are presented. The evaluation of solutions follows the Spanish Code for structural concrete. The methodology was applied to a typical bridge pier of 23.97 m in height. This example involved 110 design variables. Results indicate that algorithm MOSAMO2 outperforms other algorithms regarding the definition of Pareto fronts. Further, the proposed procedure will help structural engineers to enhance their bridge pier designs. © Zhejiang University and Springer-Verlag Berlin Heidelberg 2012. es_ES
dc.description.sponsorship Project supported by the Spanish Ministry of Science and Innovation (No. BIA2011-23602), and the European Community with the European Regional Development Fund (FEDER), Spain en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Journal of Zhejiang University Science A es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bridge piers es_ES
dc.subject Concrete structures es_ES
dc.subject Multi-objective optimization es_ES
dc.subject Simulated annealing (SA) es_ES
dc.subject Structural design es_ES
dc.subject CO2 emissions es_ES
dc.subject Design variables es_ES
dc.subject Economic costs es_ES
dc.subject Hybrid heuristic algorithms es_ES
dc.subject Local search es_ES
dc.subject Multi objective es_ES
dc.subject Multi objective algorithm es_ES
dc.subject Multi objective optimizations (MOO) es_ES
dc.subject Mutation operators es_ES
dc.subject Objective functions es_ES
dc.subject Pareto front es_ES
dc.subject Random Walk es_ES
dc.subject Reinforcing steels es_ES
dc.subject Simulated annealing algorithms es_ES
dc.subject Structural concretes es_ES
dc.subject Structural engineer es_ES
dc.subject Carbon dioxide es_ES
dc.subject Concrete construction es_ES
dc.subject Heuristic algorithms es_ES
dc.subject Multiobjective optimization es_ES
dc.subject Reinforced concrete es_ES
dc.subject Simulated annealing es_ES
dc.subject.classification INGENIERIA DEL TERRENO es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Multi-objective optimization design of bridge piers with hybrid heuristic algorithms es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1631/jzus.A1100304
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//BIA2011-23602/ES/DISEÑO EFICIENTE DE ESTRUCTURAS CON HORMIGONES NO CONVENCIONALES BASADOS EN CRITERIOS SOSTENIBLES MULTIOBJETIVO MEDIANTE EL EMPLEO DE TECNICAS DE MINERIA DE DATOS/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería del Terreno - Departament d'Enginyeria del Terreny 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 Martínez Martín, FJ.; González Vidosa, F.; Hospitaler Pérez, A.; Yepes Piqueras, V. (2012). Multi-objective optimization design of bridge piers with hybrid heuristic algorithms. Journal of Zhejiang University Science A. 13(6):420-432. https://doi.org/10.1631/jzus.A1100304 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1631/jzus.A1100304 es_ES
dc.description.upvformatpinicio 420 es_ES
dc.description.upvformatpfin 432 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 222883
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder European Regional Development Fund es_ES


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