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
         
        
        
        
        
            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"
         
        
        
            Conference_Titel : 
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
         
        
        
            DOI : 
10.1109/IMCCC.2015.291