OPTIMAL WEATHER ROUTING BASED ON ADAPTIVE BACTERIA FORAGING ALGORITHM FOR VESSEL

P. V. Hung, Quang Viet Dang, Le Thanh Dat
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Abstract

The economic efficiency, energy efficiency, reduce emission, increasing safety and security play a vital role to develop a sustainable shipping fleet. One of important measures to response these requirment is the optimal weather routing system. Because of the vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. Therefore, In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.
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基于自适应细菌觅食算法的船舶天气路径优化
经济效益、能源效率、减少排放、提高安全保障对发展可持续航运船队至关重要。响应这些要求的重要措施之一是优化天气路径系统。因为船舶路线受气象和海洋数据质量的影响,如风、浪和海流。因此,本研究将结合自适应细菌觅食优化算法,提出一种考虑气象和海洋信息、船舶特征的最优天气航路模型(OWR),并将其应用于船舶导航。仿真结果表明了该模型的有效性和可靠性。OWR将使船舶安全航行、有效运行、提高能源效率和减少排放成为可能。
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