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Journal ArticleDOI

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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Citations
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Journal ArticleDOI

Autonomous condition monitoring-based pavement management system

TL;DR: In this article , an autonomous condition monitoring-based pavement management system (ACM-PMS) with real-time data collection using CAVs traveling voluntarily was proposed to monitor pavement conditions more frequently through sensors, including vision cameras and accelerometers.
Journal ArticleDOI

Optimization of Bituminous Road Surfacing Rehabilitations Based on Optimization of Road Asset Value

TL;DR: In this paper , a complex pavement management system method that utilizes a novel optimization method of rehabilitation plans for individual road sections based on asset value optimization is presented, which is being implemented and tested by the Slovak Road Administration.
Journal ArticleDOI

Integrating Skid Resistance and Safety Benefits into Life Cycle Cost Analysis for Pavement Surface Treatment Selection

TL;DR: In this paper , an integral decision-making process to integrate pavement skid resistance and its corresponding safety benefits into the LCCA for pavement surface treatment selection was presented, and an enhanced safety performance function (SPF) was developed to predict expected roadway crashes under different skid levels.
Journal ArticleDOI

Fatigue and intermediate-temperature cracking performance of rejuvenated recycled asphalt binders and mixtures: A review

TL;DR: In this paper , the authors comprehensively reviewed and investigated the existing literature to fully understand the rejuvenation mechanism and its impact on the fatigue and cracking resistance of RAP binder and mixture using the most available tests and indicators.

Multiobjective Optimization Model to Coordinate between Segment and Network Level for Managing Pavement and Sustainability

TL;DR: In this article, a new multiobjective segment-linked decision-making model (MOSL-DM) was developed for large-scale pavement networks. But, maintenance optimization for large scale pavement networks usually has been ignored.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI

A New Heuristic Optimization Algorithm: Harmony Search

TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
Book ChapterDOI

A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II

TL;DR: Simulation results on five difficult test problems show that the proposed NSGA-II, in most problems, is able to find much better spread of solutions and better convergence near the true Pareto-optimal front compared to PAES and SPEA--two other elitist multi-objective EAs which pay special attention towards creating a diverse Paretimal front.
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