Vehicle Routing Problem (VRP) relates to the problem of providing optimum service with a fleet of vehicles to customers. It is a combinatorial optimization problem. The objective is usually to maximize the profit of the operation. However, for public transportation owned and operated by government, accessibility takes priority over profitability. Accessibility usually reduces profit, while increasing profit tends to reduce accessibility. In this research, we look at how accessibility can be increased without penalizing the profitability. This requires the determination of routes with minimum fuel consumption, maximum number of ports of call and maximum load factor satisfying a number of pre-determined constraints: hard and soft constraints. To solve this problem, we propose a heuristic algorithm. The results from this experiment show that the algorithm proposed has better performance compared to the partitioning set.
Real Time Impact Factor:
Pending
Author Name: Mohd. Sapiyan Baba, Ismail Yusuf Panessai, Nur Iksan
URL: View PDF
Keywords: VRP, Ship Routing Problem, Genetic Algorithm
ISSN: 2407-7275
EISSN: 2686-3251
EOI/DOI: 10.36079/lamintang.ijai-0101.9
Add Citation
Views: 1
