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Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions

Wang Chen, +1 more
- 01 Oct 2021 - 
- Vol. 130, pp 103840
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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.
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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.

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Multi-objective optimization for improved project management: Current status and future directions

Kai Guo, +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

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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Proceedings ArticleDOI

Chaotic maps in binary particle swarm optimization for feature selection

TL;DR: The chaotic binary particle swarm optimization method is proposed to implement feature selection, and the K-nearest neighbor (K-NN) method with leave-one-out cross-validation (LOOCV) serves as a classifier to evaluate the classification accuracies.
Journal ArticleDOI

Does Sustainability Affect Real Estate Market Values? Empirical Evidence from the Office Buildings Market in Milan (Italy)

TL;DR: In this article, the authors analyze the Italian real estate market to investigate if, and to what extent, demand appreciates the supply of green real estate assets, focusing on the analysis of 55 development projects of office buildings (with and without environmental certification).
Journal ArticleDOI

An algorithm for global optimization of Lipschitz continuous functions

TL;DR: An algorithm is presented which locates the global minimum or maximum of a function satisfying a Lipschitz condition by using lower bound functions defined on a partitioned domain to generate a sequence of lower bounds for theglobal minimum.
Journal ArticleDOI

Constraint handling methods in pavement maintenance programming

TL;DR: It is demonstrated that the GA with the prioritised resource allocation method (PRAM) outperforms the traditional GA with repair or penalty methods and can be used as the basis of more efficient resource allocation procedures in the area of pavement maintenance management.
Journal ArticleDOI

A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction

TL;DR: The proposed bottom-up approach adopts an augmented condition state to account for the history-dependent properties of pavement deterioration, and solves for steady-state policies for an infinite horizon in the system-level optimization based on segment-specific optimization results.
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