By Topic

A GA-based Shape Optimizer for Underwater Vehicles

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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