Multi-Objective Optimization Model using Constraint-Based Genetic Algorithms for Thailand Pavement Management

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 singleand 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 networksystem preservation are employed in the developed models. Maintenance scenario is selected to illustrate the utilization of the developed models.