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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization


    Contributors:


    Publication date :

    2025-03-31


    Size :

    898088 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Maritime Logistics

    Lai, Kee-hung / Yang, Dong | Springer Verlag | 2024


    Stochastic Optimization for Maritime Logistics Problems

    Kuhlemann, Stefan | TIBKAT | 2021

    Free access

    Stochastic Optimization for Maritime Logistics Problems

    Kuhlemann, Stefan | BASE | 2021

    Free access

    Optimization Methods in Maritime Transport and Logistics

    Lisowski Józef | DOAJ | 2018

    Free access