A GA-based Shape Optimizer for Underwater Vehicles

Author

Hu Tianjiang ; Li Fei ; Wang Guangming ; Shen Lincheng

Author_Institution

Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

629

Lastpage

633

Abstract

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.

Keywords

computational geometry; genetic algorithms; mechanical engineering computing; underwater vehicles; FLUENT; GATBX library; Gambit; genetic algorithm; hydrodynamics; nongradient optimization; shape optimization; underwater vehicles; Algorithm design and analysis; Assembly; Automation; Computational fluid dynamics; Design optimization; Genetic algorithms; Laboratories; Parallel processing; Shape; Underwater vehicles; Comprehensive evaluation model; Genetic algorithm; Hydrodynamics; Shape optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280688

Filename

4060597