Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105337
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorAnwar, GA-
dc.creatorHussain, M-
dc.creatorAkber, MZ-
dc.creatorKhan, MA-
dc.creatorKhan, AA-
dc.date.accessioned2024-04-12T06:51:45Z-
dc.date.available2024-04-12T06:51:45Z-
dc.identifier.urihttp://hdl.handle.net/10397/105337-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Anwar GA, Hussain M, Akber MZ, Khan MA, Khan AA. Sustainability-Oriented Optimization and Decision Making of Community Buildings under Seismic Hazard. Sustainability. 2023; 15(5):4385 is available at https://doi.org/10.3390/su15054385.en_US
dc.subjectBuildingsen_US
dc.subjectDecision makingen_US
dc.subjectMulti-objectiveen_US
dc.subjectOptimizationen_US
dc.subjectPerformance-baseden_US
dc.subjectRetrofiten_US
dc.titleSustainability-oriented optimization and decision making of community buildings under seismic hazarden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue5-
dc.identifier.doi10.3390/su15054385-
dcterms.abstractOptimization and decision-making tools are often utilized to enhance the performance of community buildings under extreme events, but this may compromise the ability of future generations to enhance performance. Hence, a sustainability-oriented approach is required to enhance the performance of community buildings under extreme events. In this context, this paper proposes an optimization and decision-making framework considering multiple performance indicators, including socioeconomic and environmental consequences as well as retrofit costs. These performance indicators are assessed by utilizing performance-based assessment methodologies in terms of sustainability dimensions. The performance indicators are then exploited as multiple performance objectives in a genetic optimization to determine the Pareto optimal solutions. Finally, the Pareto optimal solutions are utilized for decision making to extract ideal solutions for the given retrofit costs. The ideal solutions provide trade-offs between the consequences of extreme events and the retrofit costs required to reduce the consequences of extreme events.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, Mar. 2023, v. 15, no. 5, 4385-
dcterms.isPartOfSustainability-
dcterms.issued2023-03-
dc.identifier.scopus2-s2.0-85149924734-
dc.identifier.eissn2071-1050-
dc.identifier.artn4385-
dc.description.validate202403 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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