可視化情報学会誌
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
B122 遺伝的アルゴリズムによる速度場計測
服部 敦彦山田 武木村 一郎
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1997 年 17 巻 Supplement2 号 p. 133-136

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This paper proposes a new algorithm for particle pairing between two tracer images with a constant time interval to obtain velocity fields. The algorithm is carried out using Genetic Algorithms which are search algorithms based on the mechanics of natural selection and natural genetics. The algorithm adopts a fitness function which evaluates similarity between respective small particle patterns in the two tracer images and then is applied to a uniform flow with constant velocity vectors. After thousands of generations, the algorithm gives correct velocity fields.

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