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.
出处
《造纸科学与技术》
北大核心
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)
关键词
纸浆
投影寻踪
人工鱼群算法
投影值
pulp
projection pursuit
artificial fish swarm algorithm
projective value