This paper presents a rational approach to the design of a catamaran's hydrofoil applied within a modern context of multidisciplinary optimization. The approach used includes the use of response surfaces represented by neural networks and a distributed programming environment that increases the optimization speed. A rational approach to the problem simplifies the complex optimization model; when combined with the distributed dynamic training used for the response surfaces, this model increases the efficiency of the process. The results achieved using this approach have justified this publication.
Multidisciplinary optimization of a catamaran's hydrofoil design with dynamic response surface and distributive processing
2009-03-01
14 pages
Article (Journal)
Electronic Resource
English
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