Autopilot adjustment using CBR. (14th December 2009)

• Record Type: Journal Article
• Authors: Nikitakos, Nikitas. V.; Fikaris, G.N.
• Is Part Of: International journal of ocean systems management. Volume 1:Number 2(2009)
• Page Start: 135
• Page End: 154
• Publication Date: 2009-12-14
• Subjects: artificial intelligence -- expert systems -- case based reasoning -- CBR -- ship steering -- autopilot adjustment; Shipping -- Management -- Periodicals; Ocean engineering -- Periodicals; Ocean -- Environmental aspects -- Periodicals; Ocean energy resources -- Periodicals; Marine resources -- Management -- Periodicals; 387.5
• Languages: English
• ISSNs: 1752-6582

Abstract

A ship's autopilot adjustment is a matter of utmost importance since it affects its safety, command as well as fuel and time efficiency. Numerous techniques usually based on models which simulate the weather and loading conditions are used in order to achieve optimum adjustment. Nevertheless, perfect steering is not yet accomplished mainly due to the infinite number of different situations during sea passages. We claim that a CBR approach which selects the best out of a finite, pre-installed set of device configurations using specific criteria can compete with existing methods and continuously improves itself during the ship's life cycle.