江苏大学学报（自然科学版）2012，Vol.33Issue(3)：305-309,5.DOI:10.3969/j.issn.1671-7775.2012.03.012
基于改进PSO的高分子材料降解模型参数优化
Parameter optimization of polymer materials degradation model based on improved PSO algorithm
摘要
Abstract
To improve simulation accuracy of biodegradable polymer materials degradation model, a mathematical optimization model based on the actual principles in degradation of polymer materials and various factors was proposed. The particle swarm optimization (PSO) was used to optimize model parameters. To solve the weakness of standard particle swarm optimization algorithm, an improved algorithm was proposed to achieve optimization values. Dynamic adaptive inertia weight and asynchronous time-varying learning factors were introduced into the improved algorithm. The improved PSO algorithm was tested by five standard test functions to optimize the model parameters. The test and experiment results show that the proposed algorithm can effectively avoid being trapped in local minimum with increased accuracy and convergence rate. The simulation accuracy of biodegradable polymer materials degradation model can be significantly improved by optimized parameters. The algorithm is suitable to demonstrate the degradation mechanization and to guide the design and product of medical devices.关键词
可降解高分子材料/降解/粒子群优化算法/算法改进/参数优化Key words
biodegradable polymers/ degradation/ particle swarm optimization ( PSO) / algorithm improvement/ parameter estimation分类
信息技术与安全科学引用本文复制引用
张桃红,张颖,陈冰..基于改进PSO的高分子材料降解模型参数优化[J].江苏大学学报（自然科学版）,2012,33(3):305-309,5.基金项目
中国科学院战略性先导科技专项基金资助项目(XDA01030401) （XDA01030401）
