Cloud Motion Wind (CMW) is a very important issue in the meteorology. In this paper, we firstly apply Genetic Algorithm (GA) to the CMW searching to reduce the computational complexity. We propose a novel CMW method, namely GA-CMW. Compared with the traditional Exhaustive CMW (E-CMW) algorithm, GA-CMW can obtain almost the same performance while with only 11 % of the computational complexity required. Generally speaking, the proposed GA-CMW method can obtain the wind vector picture in shorter time, which makes a lot of sense to the resource saving in the practical application. © Springer Science+Business Media Dordrecht 2014.
CITATION STYLE
Han, J., Li, L., Yang, C., Tong, H., Zeng, L., & Yang, T. (2014). Apply genetic algorithm to Cloud Motion Wind. In Lecture Notes in Electrical Engineering (Vol. 260 LNEE, pp. 781–789). Springer Verlag. https://doi.org/10.1007/978-94-007-7262-5_88
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