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2014 | OriginalPaper | Chapter

Apply Genetic Algorithm to Cloud Motion Wind

Authors : Jiang Han, Ling Li, Chengcheng Yang, Hui Tong, Longji Zeng, Tao Yang

Published in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Publisher: Springer Netherlands

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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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Metadata
Title
Apply Genetic Algorithm to Cloud Motion Wind
Authors
Jiang Han
Ling Li
Chengcheng Yang
Hui Tong
Longji Zeng
Tao Yang
Copyright Year
2014
Publisher
Springer Netherlands
Book
Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Print ISBN: 978-94-007-7261-8

Electronic ISBN: 978-94-007-7262-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-94-007-7262-5_88