TY - GEN
T1 - Route Optimization for Sailing Vessels using Artificial Intelligence Techniques
AU - Anderson, John M.
AU - Sithungu, Siphesihle P.
AU - Ehlers, Elizabeth M.
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/11/4
Y1 - 2022/11/4
N2 - 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.
AB - 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.
KW - Geographical Data
KW - Sailing
KW - Weather
UR - http://www.scopus.com/inward/record.url?scp=85159699363&partnerID=8YFLogxK
U2 - 10.1145/3581792.3581803
DO - 10.1145/3581792.3581803
M3 - Conference contribution
AN - SCOPUS:85159699363
T3 - ACM International Conference Proceeding Series
SP - 60
EP - 66
BT - CIIS 2022 - 2022 5th International Conference on Computational Intelligence and Intelligent Systems
PB - Association for Computing Machinery
T2 - 5th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2022
Y2 - 4 November 2022 through 6 November 2022
ER -