Abstract
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.
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This paper is supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China under Grand 2012ZX03001039-002, which is kindly acknowledged.
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Han, J., Li, L., Yang, C., Tong, H., Zeng, L., Yang, T. (2014). Apply Genetic Algorithm to Cloud Motion Wind. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_88
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DOI: https://doi.org/10.1007/978-94-007-7262-5_88
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