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A GA-based Shape Optimizer for Underwater Vehicles

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4 Author(s)
Hu Tianjiang ; Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China ; Li Fei ; Wang Guangming ; Shen Lincheng

This paper proposes a non-gradient optimizer to apply to design and optimization of underwater vehicles. Alien to the traditional approaches, out optimizer employs genetic algorithm to design the underwater vehicles' optimal shape and assembly with a given initial vehicle form. And meanwhile, a comprehensive evaluation, which may include resistance, noise, efficiency, maneuvering, etc., is elaborately considered, especially taking the hydrodynamics-related effects into account. In addition, we established the optimizer with GATBX library, Gambit, and FLUENT.

Published in:

Control Conference, 2006. CCC 2006. Chinese

Date of Conference:

7-11 Aug. 2006

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