Browse > Article
http://dx.doi.org/10.5394/KINPR.2005.29.10.865

A study on a ballast optimization algorithm for onboard decision support system  

Shin Sung-Chul (Division of Ocean System Engineering, Mokpo Maritime University)
Abstract
Because there are only a limited number of means of action that are available for the master to pursue in the event of flooding, onboard decision support system has been required. The majority of systems activated during a flooding emergency (such as watertight and semi-watertight doors, bulkhead valves, dewatering pumps etc.) almost exclusively aim to restore a sufficiently high level of subdivision to prevent flooding from spreading through the ship. Even though assuming the flooding scenario is not catastrophic, the use of ballast tanks can be an additional and very effective tool to ensure both prevention of flooding spreading and also improve ship stability. This paper describes an optimization algorithm devised to choose the set of ballast tanks that should be filled in order to achieve an optimal response to a flooding accident.
Keywords
Ship safety; Onboard decision support system; Damage stability; Artificial intelligence; Optimization;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Aamodt, A. and Plaza, E(1994), 'Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches', AI Communications, IOS Press
2 Aamodt A. and Veloso M. (1995), 'Case-Based Reasoning Research and Development', Proceedings ICCBR-95, Lecture Notes in Artificial Intelligence, 1010. Srpinger Verlag
3 Barletta, E. R.(1994), 'A Hybrid Indexing And Retrieval Strategy For Advisory CBRSystems Built with ReMind', Proceedings of the European Workshop on Case-Based Reasoning
4 IMO SLF 46/INF3(2003)
5 Kolodner, J.(1993), 'Case-Base Reasoning', Morgan Kaufmann Publishers, Inc
6 Voss A.(1996), 'How to Solve Complex Problems with Cases', Engineering Application of Artificial Intelligence, Vol. 9, No. 4. Elsevier Science Ltd   DOI   ScienceOn