A Study on the Application of Genetic Algorithms to the Optimization of Road Maintenance Strategies

This study proposes an optimization method that considers both section resurfacing and localized repairs of damaged points, based on the highly uneven distribution of pavement distress locations and under budget constraints. The model is formulated as an MILP (mixed-integer linear programming) model...

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Vydáno v:	Applied sciences Ročník 15; číslo 18; s. 10094
Hlavní autoři:	Chiou, Yi-Shian, Ho, Min-Che, Song, Pin-Yu, Lin, Jyh-Dong, Lu, Szu-Han, Ke, Chi-yun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2025
Témata:	Algorithms Costs Decision making Flexibility genetic algorithm (GA) Genetic research Infrastructure Integer programming Logic Maintenance and repair Mathematical programming mixed-integer linear programming (MILP) model Optimization pavement condition index (PCI) pavement maintenance optimization Preventive maintenance road maintenance strategy Roads Roads & highways Scheduling Transportation planning Taiwan
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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