Journal ArticleDOI
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
Wang Chen,Mulian Zheng +1 more
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TLDR
The strategic decision-making goals, decision processes, sources and characterization methods of uncertainty, intelligent algorithm followed across the globe were reviewed, and the latest development of multi-objective decision-aid tools (MODAT) for PMMS was discussed while emphasizing the importance of establishing joint MOO optimization model of multiple facilities and multiple M&R techniques forPMMS to achieve intelligent decision- making.About:Â
This article is published in Automation in Construction.The article was published on 2021-10-01. It has received 43 citations till now. The article focuses on the topics: Multi-objective optimization.read more
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Multi-objective optimization for improved project management: Current status and future directions
Kai Guo,Limao Zhang +1 more
TL;DR: In this article , a systematic review under both scientometric and qualitative analysis is presented to understand the current state and discuss the future research trends of MOO for project improvement. But, the authors do not provide a detailed analysis of these trends.
Framework for investment decision-making under risk and uncertainty for infrastructure asset management
Noppadol Piyatrapoomi,Arun Kumar +1 more
TL;DR: In this article, a study has been conducted to investigate current practices on decision-making under risk and uncertainty for infrastructure project investments, and it was found that the most influential factors affecting risk and uncertainties resulted from forecasting errors.
Journal ArticleDOI
Project Level Management Decisions in Construction and Rehabilitation of Flexible Pavements
TL;DR: In this article , the authors present and discuss their diverse perceptions and methodologies for these management system elements and further investigate the further investigations required to develop more efficient systems that optimally achieve the environmental, economic, and social objectives.
Journal ArticleDOI
Project Level Management Decisions in Construction and Rehabilitation of Flexible Pavements
TL;DR: In this paper, the authors present and discuss their diverse perceptions and methodologies for these management system elements and further investigate the further investigations required to develop more efficient systems that optimally achieve the environmental, economic, and social objectives.
Journal ArticleDOI
Potential of project level construction and rehabilitation plans to attenuate the economic and environmental burdens of flexible road pavements: A review study
TL;DR: In this paper , the authors summarized the main findings of the past studies and provided some perspective reviews for compromising the economic and environmental appurtenances provoked during the road pavement life cycle.
References
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Global optimization using interval analysis -- the multi-dimensional case
TL;DR: In this paper, interval analysis is used to compute the global minimum of a function of n variables over ann-dimensional parallelopiped with sides parallel to the coordinate axes, providing infallible bounds on both the globally minimum value of the function and the point(s) at which the minimum occurs.
Journal ArticleDOI
Computation of Infrastructure Transition Probabilities using Stochastic Duration Models
Rabi G. Mishalani,Samer Madanat +1 more
TL;DR: A probabilistic model of the time spent in a state (referred to as duration) is developed, and the approach used for estimating its parameters is described and the method for determining the corresponding state transition probabilities from the estimated duration models is derived.
Journal ArticleDOI
An Approximate Dynamic Programming Approach to Network Revenue Management with Customer Choice
Dan Zhang,Daniel Adelman +1 more
TL;DR: This work develops a column generation algorithm to solve the problem for a multinomial logit choice model with disjoint consideration sets (MNLD), and derives a bound as a by-product of a decomposition heuristic.
Book ChapterDOI
Global Convergence of Genetic Algorithms: A Markov Chain Analysis
TL;DR: In this article, an abstract stochastic algorithm for combinatorial optimization problems is proposed, which generalizes and unifies genetic algorithms and simulated annealing, such that any GA or SA algorithm at hand is an instance of the abstract algorithm.