Determining Frictional Characteristics of Human Ocular Surfaces by Employing BSG-Starcraft of Particle Swarm Optimization

Abstract

The main purpose of this research is to determine frictional characteristics of human ocular surfaces. A mathematical model for frictional coefficients was proposed. Parameters of the model were determined by a computational algorithm employing BSG (BattleStar Galactica)-Starcraft of PSO (Particle Swarm Optimization). This research also aims to show validities the computational algorithm employing the BSG-Starcraft of PSO and the algorithm employing the genetic algorithm and least-squares method developed in the authors’ previous research. The physical apparatus developed by the authors in the previous research was used to measure the normal forces, frictional forces and velocities of the probe on eye surfaces of healthy subjects simultaneously. Then, the frictional characteristic curves of human ocular surfaces were calculated by using the present and previous computational algorithms. Finally, both computational algorithms were validated by comparing both results on the frictional characteristics of cornea and bulbar conjunctiva. The authors have succeeded in determining the frictional characteristics of human ocular surfaces.