Application of the Outbreeding Elitist Adaptive Genetic Algorithm in High Meteorological Detection

doi:10.3969/j.issn.1007-2985.2012.04.012

journal6 ›› 2012, Vol. 33 ›› Issue (4): 53-59.DOI: 10.3969/j.issn.1007-2985.2012.04.012

• Physics and electronics • Previous Articles Next Articles

Application of the Outbreeding Elitist Adaptive Genetic Algorithm in High Meteorological Detection

（Department of Electronic Reconnaissance and Command,Shenyang Artillery Academy,Shenyang 110867,China）

Online:2012-07-25 Published:2012-09-11
About author:SUN Bao-jing(1968-),was born in Wulian,Shandong Province,professor;research area is ballistic density.

Abstract

Abstract: On the basis of analyzing the feature of the outbreeding elitist and adding the evolution of slave population,the outbreeding elitist adaptive genetic algorithm(OEAGA) is presented,and in according with the characteristics of the huge amounts,complicated and unpredicted change of the high meteorological detecting data,the OEAGA is utilized to compute the B-spline knots so that the optimal B-spline curve which is fitting the high meteorological detecting data curve under the accuracy requirement,can possess less control vertexes.Compared with the result of the B-spline curve with the standard genetic algorithm to compute knots,the B-spline curve with the OEAGA is better,and experiments indicate that the OEAGA has stronger searching performance and higher converging efficiency.

Key words: outbreeding elitist, B-spline curve fitting, meteorological detecting

SUN Bao-Jing. Application of the Outbreeding Elitist Adaptive Genetic Algorithm in High Meteorological Detection[J]. journal6, 2012, 33(4): 53-59.

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Application of the Outbreeding Elitist Adaptive Genetic Algorithm in High Meteorological Detection

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