Application of Genetic Algorithm to the Position Optimization of the Outriggers for Trimaran
Shunhuai Chen, Lianqiong Cui
Journal of Algorithms & Computational Technology · 2009
doi:10.1260/174830109789621356 (opens in a new tab)
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Abstract
In multi-hulls ship development the position optimization of the outriggers for Trimaran has to be taken into account. This problem may be solved by multi-objects nonlinear program. In this paper, The Rankine Source method based on the potential flow theory is used to predict the wave-making resistance of the trimaran and the Multi-Objective Genetic Algorithms (MOGAs) is used to optimize the position of the outriggers and the optimum results of CFD method were given too. The results show that MOGAs is an efficient and qualified engineering optimum design method in ship design.
Abstract licence: CC BY-NC
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