可視化情報学会誌
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
遺伝アルゴリズムPTVの高性能化
近江 和生吉田 直弘Huynh Thai Hoang
著者情報
ジャーナル フリー

2001 年 21 巻 2Supplement 号 p. 35-38

詳細
抄録
The genetic algorithm (GA) has been already effectively applied by the present authors to the particle pairing problem of the PTV (Particle Tracking Velocimetry) system software. However, from the viewpoint of practicability, the formerly reported algorithm still leaves some room for improvement, in particular with respect to the allowed number of particles to be tracked, the treatment of the unpaired particles between the frames and, finally, the computing time. This time, a number of new ideas have been introduced in the genetic encoding of the particle pairing problem as well as in the relating genetic operations, both with a view to reducing the computing time up to convergence and dealing with the unpaired particles more appropriately. At the same time, the formerly proposed ideas have been used in a more refined form in order to improve the performance of particle pairing.
著者関連情報
© 社団法人 可視化情報学会
前の記事 次の記事
feedback
Top