Route Optimization for Sailing Vessels using Artificial Intelligence Techniques

John M. Anderson, S. Sithungu, E. M. Ehlers
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Abstract

Sailing is not a new concept. The use of artificial intelligence (AI) within the field of sailing however is a relatively new concept. AI is being applied to a variety of different aspects within the field of sailing such as AI plotting unmanned vessels across the globe as well as in the optimization of racing vessels in a variety of prestigious regatta. This paper aims to explore the application of AI to the route creation and plotting aspect of AI in sailing, the objective being to create a system that efficiently assists sailors with their route creation within a complex environment. The approach used is through the creation of a model that uses an adapted A* (star) search algorithm where the weightings of the heuristic values used better represent the costs associated with the complex environment the algorithm operates in. The environment devised in this paper is a combination of geographical and meteorological data and coordinates to create a semi-dynamic environment in which the system operates. The resulting system successfully creates optimized routes within the semi-dynamic environment devised by the system.
基于人工智能技术的帆船航线优化
帆船不是一个新概念。然而,在帆船领域使用人工智能(AI)是一个相对较新的概念。人工智能在世界范围内的无人船绘制、各种知名帆船赛的赛艇优化等航海领域得到了广泛的应用。本文旨在探索人工智能在航行中路线创建和绘图方面的应用,目的是创建一个系统,在复杂的环境中有效地帮助水手创建路线。所使用的方法是通过创建一个模型,该模型使用经过调整的a *(星型)搜索算法,其中所使用的启发式值的权重更好地表示与算法运行的复杂环境相关的成本。本文设计的环境是地理和气象数据和坐标的组合,以创建系统运行的半动态环境。该系统成功地在半动态环境中创建了优化的路线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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