Particle Tracking Velocimetry By Phvsarum Polvcephalum Algorithms

Particle tracking velocimetry (PTV) is one of the methods that measure flow velocity fields. This paper proposes a new method that solves the correspondence problem of particle tracking velocimetry using Physarum Polycephalum Algor i thm (PPA) that is inspired by co-operative food retrieval in ants. PTV offers many advantages for the study of f luid flows. PTV is formulated as a combinational optimization problem. Then several PTV algorithms have been proposed which includes algorithms like simulated annealing, genetic algorithms and artif icial networks. PPA is a new search metaphor for solving combinational optimization problems. The proposed technique using PPA is applied to the PIV standard images distr ibuted through the web site (httpV/www.vsj.or.jp/piv). The simulat ion results demonstrate the effectiveness of the present technique.