Abstract
An application of genetic algorithms to particle image tracking has been studied to simultaneously search out velocity vectors of a large number of moving tracer particles. Since its concept becomes to a combinatorics for identifying particles between two sequential digital flow images, the authors make use of the genetic algorithms for solving the combinatorics. The particle identification is realized by optimizing the evolutive gene strings which are encoding the particle combinations. The previous paper had proposed the idea of 2-dimensional particle image tracking method by the genetic algorithms. The idea has the excellent advance to a 3-dimensional particle image tracking method The fundamental performance of this method is evaluated by the image analysis for a numerical simulation.
