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Simulated annealing for optimal ship routing

机译:模拟退火以优化船舶路线

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In this article we present a simulated annealing based algorithm for the determination of optimal ship routes through the minimization of a cost function defined as a weighted sum of the time of voyage and the voyage comfort (safety is taken into account too). This cost function is dependent on the wind speed and its direction as well as on the wave height and its direction. The constructed algorithm at the beginning discretizes an initial route and then optimizes it by considering small deviations, which are accepted or rejected by utilizing the simulated annealing technique. Using calculus of variations, we prove a key theorem which tremendously accelerates the convergence of the proposed algorithm. For an illustration of the advantages of the constructed method, both computational and real experiments have been carried out which are presented and discussed.
机译:在本文中,我们提出了一种基于模拟退火的算法,可通过最小化成本函数(确定航程时间和航程舒适度的加权总和)确定最优的船舶路线(也要考虑安全性)。该成本函数取决于风速及其方向以及波高及其方向。在开始时所构造的算法将初始路径离散化,然后通过考虑小的偏差对它进行优化,利用模拟退火技术可以接受或拒绝小的偏差。使用变分演算,我们证明了一个关键定理,该定理极大地加快了所提出算法的收敛速度。为了说明所构造方法的优点,已经进行了计算和实际实验,并进行了介绍和讨论。

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