基于人工鱼群算法的投影寻踪模型在纸浆质量评价体系中的研究  

Quality Assessment of Pulp Based on Artificial Fish Swarm Algorithm and Projection Pursuit Model

作　　者：刘洋[1] 涂宁宇[1] 李友明[2] 

机构地区：[1]广东石油化工学院,广东茂名525000 [2]华南理工大学制浆造纸工程国家重点实验室,广东广州510640

出　　处：《造纸科学与技术》2012年第5期52-56,共5页Paper Science & Technology

基　　金：广东省科技计划项目(2007B03100017);茂名市科技计划项目(203628)

摘　　要：通过构造投影指标函数进行优化设计,建立基于人工鱼群算法的投影寻踪综合评价模型(AFSA-PP)对纸浆质量进行评价。结果表明,纸浆质量的插值对于该综合评价模型的适应度较好,在同等精度下,AFSA-PP比基于加速遗传算法的投影响寻踪(RAGA-PP)评价模型所需要的寻优时间更短,更适合现代造纸工业中对纸浆质量的快速评价。By means of constructing a projection index function, a projection pursuit model based on artificial fish swarm algorithm （AFSA - PP） was applied for pulp quality assessment. It was indicated that the interpolation of pulp quality got a good adaptation degree for the model. The simulation results showed that compared with projection pursuit model based on real - coded accelerating genetic algorithm, AFSA - PP made response time shorter for optimization under the equivalent precision, which was more suitable for quickly evaluation of pulp quality.

关 键 词：纸浆 投影寻踪 人工鱼群算法 投影值 

分 类 号：TS743[轻工技术与工程—制浆造纸工程]