ROAD MAINTENANCE STRATEGY OPTIMIZATION USING MULTI OBJECTIVE OPTIMIZATION ALGORITHM (CASE STUDY: DINAS BINA MARGA DAN PENATAAN RUANG PROVINSI JAWA BARAT)
Road has become an important part of supporting human life, such as in the economic, socio-cultural, security, and to the prosperity of the community. Road maintenance must be carried out continuously so that the road can provide optimal benefits. Unfortunately, road maintenance activities in...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55207 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Road has become an important part of supporting human life, such as in the
economic, socio-cultural, security, and to the prosperity of the community. Road
maintenance must be carried out continuously so that the road can provide optimal
benefits. Unfortunately, road maintenance activities in Indonesia cannot run
optimally. The limited road maintenance resources available urges the
determination of the optimal road management strategy by considering various
aspects. However, the strategy for road maintenance that has been done so far is
still manual. On the other hand, road maintenance activities are needed to
guarantee a sense of comfort and safety to road users. Research on determining
road management strategies has been carried out in recent years. However, these
studies are limited to the optimization of two objective variables, such minimization
of cost over planning time to preserve road serviceability and maximization of road
surface conditions. Meanwhile, there are other variables that could be considered
in determining the optimal road management strategy, such as disaster-prone data.
In addition, the budget limit available each year has not been considered in the
existing research.
This study recommends a metaheuristic method for multi-objective optimization
that can support road maintenance activities by providing optimal road handling
strategies from limited available resources. This study also presents a prototype
that applies the method to support the optimal problem solution and results of the
optimal road handling strategy. The results showed that NSGA-III was able to
provide fast, precise, and efficient optimization, compared to other optimization
methods. In addition, there is still room to improve the performance of the NSGAIII to be even better.
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