This paper proposes a joint optimal design for speed and routing in maritime transportation systems with quantum optimization, which will play a crucial role in global trade and logistics. Efficient maritime transportation design is essential for reducing operational costs, minimizing environmental impact, and enhancing overall fleet performance. In this context, we formulate a cost minimization problem that accounts for key factors such as fuel consumption, ship payload, and sailing speed. The optimization problem is modeled as a mixed-integer programming, which is NP-hard and computationally challenging to solve using classical methods. To address this challenge, we propose an alternating optimization (AO) framework, which comprises a quantum-centric optimization approach for determining optimal routing decisions and a closed form solution for maintaining speed control. Numerical results are shown to demonstrate the effectiveness of the proposed quantum optimization solution with a clear convergence pattern and reduced costs compared to benchmark schemes.
Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization
31.03.2025
898088 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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