An evolutionary approach to multi-objective ship weather routing

Aphrodite Veneti, C. Konstantopoulos, G. Pantziou
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引用次数: 13

Abstract

The paper presents a real time weather routing solution based on an Evolutionary Algorithm (EA). The objectives to be minimized are the mean total risk and fuel cost, where the route of a ship is optimized while taking into consideration the time-varying sea and weather conditions and there is also a constraint on the total passage time of the route. Safety is also taken into account by applying restrictions following the guidelines of the International Maritime Organization (IMO). The proposed EA implementation is tested on real life instances and compared with an exact algorithm.
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多目标船舶天气航路的一种进化方法
提出了一种基于进化算法(EA)的实时天气路由方案。最小化的目标是平均总风险和燃料成本,在考虑时变海况和天气条件的情况下优化船舶航线,并对航线的总通过时间进行约束。根据国际海事组织(IMO)的指导方针,通过应用限制也考虑到安全。提出的EA实现在实际实例中进行了测试,并与精确算法进行了比较。
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