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- W623201359 abstract "Significant statistical and epistemic uncertainty surrounds estimated conditional probabilities that are used in mathematical formulations of infrastructure management problems are presented in this paper. Previous research has mitigated the impact of this uncertainty by using either an adaptive optimization or robust optimization approach. The adaptive optimization updates deterioration model parameters as condition survey data is collected and the robust optimization considers ranges of possible parameter values, rather than fixed estimates, during decision-making. This paper compares the two approaches, qualitatively and quantitatively, using data obtained from a computational study relating to pavement management. The discussion and results do not fully favour either approach, and point to the possibility of combining the two approaches in the future." @default.
- W623201359 created "2016-06-24" @default.
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- W623201359 date "2007-01-01" @default.
- W623201359 modified "2023-09-28" @default.
- W623201359 title "Comparing Adaptive and Robust Strategies for Maintenance, Repair and Rehabilitation Optimization in Infrastructure Management" @default.
- W623201359 hasPublicationYear "2007" @default.
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