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

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.