Preliminary Design of an Autonomous Underwater Vehicle Using a Multiple-Objective Genetic Optimizer

Preliminary Design of an Autonomous Underwater Vehicle Using a Multiple-Objective Genetic Optimizer

The process developed herein uses a Multiple Objective Genetic Optimization (MOGO) algorithm. The optimization is implemented in ModelCenter (MC) from Phoenix Integration. It uses a genetic algorithm that searches the design space for optimal, feasible designs by considering three Measures of Perfo...

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Bibliographic Details
Main Author: Martz, Matthew
Other Authors: Aerospace and Ocean Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
MDO
Optimization
Genetic
Genetic Algorithm
AUV
Autonomous Underwater Vehicle
Online Access:http://hdl.handle.net/10919/33291
http://scholar.lib.vt.edu/theses/available/etd-05272008-153619/

Internet

http://hdl.handle.net/10919/33291
http://scholar.lib.vt.edu/theses/available/etd-05272008-153619/

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