Multi-Objective Optimization Model using Constraint-Based Genetic Algorithms for Thailand Pavement Management
TLDR
In this paper, a multi-objective optimization model was developed to support the multi-year decision-making process of highway maintenance management in Thailand, where preventive maintenance is focused in this research since it helps prolong the life of the infrastructures.Abstract:
Mature infrastructures require proper maintenance treatments. Highway agencies often face with limited maintenance budget which may result a large backlogs of maintenance works in each year. The main objective of this research work is to develop a multi-objective optimization model to support the multi-year decision making process of the highway maintenance management in Thailand. Preventive maintenance is focused in this research since it helps prolong the life of the infrastructures. This study selects the flexible pavements in the Pathumthani province to be the study area. Both single- and multi-objective optimization models are developed for a multi-year maintenance planning by incorporating the constraint-based genetic algorithms to deal with the combinated characteristics of the network-level maintenance planning. Two constraints of budget limitation and the network- system preservation are employed in the developed models. Maintenance scenario is selected to illustrate the utilization of the developed models.read more
Citations
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Pavement rehabilitation and maintenance prioritization of urban roads using fuzzy logic
TL;DR: This paper looks into prioritization based upon a model including all effects of important factors like pavement condition index, traffic volume, road width as well as rehabilitation and maintenance cost by defining a model that introduces all those factors.
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Optimisation of maintenance strategy for rural road network using genetic algorithm
TL;DR: In this article, the authors developed a bi-objective deterministic optimisation model which simultaneously satisfies the objectives of both minimisation of total maintenance cost and maximisation of performance of the road network.
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Optimization in Decision Making in Infrastructure Asset Management: A Review
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Using Classification Trees for Predicting National Bridge Inventory Condition Ratings
TL;DR: In this paper, the authors presented a new methodology using classification and regression trees (CARTs) to predict the categorical NBI condition rating classes from the more quantitative and detailed CoRe element condition data.
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Sustainable Decision-Making in Road Development: Analysis of Road Preservation Policies
Angie Ruiz,Jose Guevara +1 more
TL;DR: Results show that in the Colombian context, decision-making processes regarding maintenance policies are highly influenced by economic factors, which lead to short-term strategies such as performing corrective maintenance over predictive maintenance, but demonstrates that predictive maintenance allows the road network to remain in good conditions.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Book
Pavement Management for Airports, Roads, and Parking Lots
TL;DR: In this paper, the impact of bus traffic on Pavement costs and the impact on utility cuts on pavement life and rehabilitation costs are discussed. But the main focus is on road condition prediction models.
Book
Genetic Algorithms in Engineering Systems
TL;DR: A broad survey of the current trends and techniques in genetic algorithms (GAs), which are general purpose search and optimisation methods applicable to a wide variety of problems.