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contributor authorSilvia Galvan-Nunez
contributor authorNii Attoh-Okine
date accessioned2017-05-08T22:32:47Z
date available2017-05-08T22:32:47Z
date copyrightJune 2017
date issued2017
identifier other49095927.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82376
description abstractBecause of budget constraints for maintaining highway bridges in the United States, it is necessary to accurately monitor bridge structures so that repair and rehabilitation strategies can be performed. In this paper, an optimization approach based on the hybrid of the metaheuristic particle swarm optimization and the
publisherAmerican Society of Civil Engineers
titleHybrid Particle Swarm Optimization and K-Means Analysis for Bridge Clustering Based on National Bridge Inventory Data
typeJournal Paper
journal volume3
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.0000864
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 002
contenttypeFulltext


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