Title :
AUV mission preparation as a multi-criteria optimization problem using statistical performance prediction
Author :
Rendas, M. João ; Turcci, Emmanuel
Author_Institution :
UNSA, CNRS, Biot, France
fDate :
28 Sep-1 Oct 1998
Abstract :
This paper addresses the problem of designing the key parameters defining a mission of an AUV. The novelty of our approach consists: (i) in the formulation of mission design as a multi-criteria problem and use of an appropriate optimization tool, and (ii) on the use of statistically based performance prediction tools
Keywords :
genetic algorithms; geophysics computing; oceanographic equipment; remotely operated vehicles; underwater vehicles; AUV; autonomous underwater vehicle; equipment; genetic algorithm; geophysical measurement technique; instrument; key parameters; marine geology; mission design; mission preparation; multi-criteria optimization problem; ocean; optimization tool; statistical performance prediction; underwater robot; Delay; Doppler measurements; Genetic algorithms; Leg; Robots; Sea surface; Statistical analysis; Stress; Transponders; Vehicles;
Conference_Titel :
OCEANS '98 Conference Proceedings
Conference_Location :
Nice
Print_ISBN :
0-7803-5045-6
DOI :
10.1109/OCEANS.1998.726387