DocumentCode
3745645
Title
Self-Evolutionary Genetic Algorithm for Vector Field Measuring System Registration
Author
Qiang Wen;Jia-Song Wang;Cheng-Lin Mao;Cui-Cui Li
Author_Institution
Coll. of Sci. Harbin, Harbin Eng. Univ., Harbin, China
fYear
2015
Firstpage
1358
Lastpage
1363
Abstract
Many situations require two vector field measuring systems to work together, such as strap down navigation technology. Therefore, identify the spatial relationship between vector field measuring systems is a prerequisite for engineering applications. This paper deduces the relationship of two vector field measuring systems and proposes fitness function. Then use the self-evolutionary genetic algorithm to align the measuring systems. The simulation results show that self-evolutionary genetic algorithm can be used effectively in the registration of two measuring systems and the noise and sampling data have direct impact on the registration accuracy.
Keywords
"Sociology","Statistics","Genetic algorithms","Next generation networking","Encoding","Simulation","Noise measurement"
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type
conf
DOI
10.1109/IMCCC.2015.291
Filename
7406070
Link To Document