Abstract
A new type of genetic algorithm (GA) has been developed and implemented for the use in the particle tracking velocimetry. High performance of particle tracking is achieved by introducing a new fitness function as well as by some new ideas in the selection, crossover and mutation operations. With this new algorithm, the GA-based particle tracking velocimetry is likely to attain optimal solutions more quickly and expected to be applied to PIV recordings with larger numbers of particles.
