基于粒子群优化的bsg -星际争霸人眼表面摩擦特性研究

S. Pranoto, S. Okamoto, Jae Hoon Lee, A. Shiraishi, Yuri Sakane, Y. Ohashi
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引用次数: 4

摘要

本研究的主要目的是确定人眼表面的摩擦特性。提出了摩擦系数的数学模型。采用BSG (BattleStar Galactica)-星际争霸粒子群优化(PSO)算法确定模型参数。本研究还旨在验证采用粒子群中的bsg -星际争霸的计算算法和采用作者之前研究中开发的遗传算法和最小二乘法的算法的有效性。利用作者在之前的研究中研制的物理仪器,同时测量了探针在健康受试者眼表面的法向力、摩擦力和速度。然后,利用现有算法和已有算法计算人眼表面的摩擦特性曲线。最后,通过比较两种算法对角膜和球结膜摩擦特性的影响,验证了两种算法的有效性。作者已经成功地确定了人眼表面的摩擦特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining Frictional Characteristics of Human Ocular Surfaces by Employing BSG-Starcraft of Particle Swarm Optimization
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.
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