DocumentCode :
714223
Title :
Preliminary study on navigation performance optimization analysis of a new type USV and its methods
Author :
Jing Sheng-ping ; Ma Tian-yu ; Yang Song-lin
Author_Institution :
Naval Archit. & Ocean Eng., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
1583
Lastpage :
1587
Abstract :
Consideration on the unmanned surface vehicle (USV) rapidity, maneuverability and anti overturning resistance, this paper creates a synthetical optimization mathematical model of the new USV navigation performance, structure of a complex algorithm, preparation of the related software. Complete a number of optimization calculations, discuss the effects of weight and different speed on the optimization goal, and compared to the optimal performance of single genetic algorithm, hierarchical genetic algorithm and genetic chaotic hierarchical algorithm. The results show that the performance index weight and speed have significant influence on the optimization goal, and hierarchical genetic algorithm optimization performance is better.
Keywords :
genetic algorithms; marine navigation; marine vehicles; mobile robots; USV; genetic chaotic hierarchical algorithm; hierarchical genetic algorithm optimization; navigation performance optimization; performance index weight; synthetical optimization mathematical model; unmanned surface vehicle; Algorithm design and analysis; Genetic algorithms; Indexes; Linear programming; Marine vehicles; Optimization; Resistance; complex algorithm; navigation performance; synthetical optimization; unmanned surface vehicle (USV);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129517
Filename :
7129517
Link To Document :
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