摘要
目的在确保磨浆质量的前提下,提高磨浆产量、降低磨浆能耗,进而提高瓦楞纸的产量,降低生产能耗。方法在分析并建立高浓磨浆过程数学模型的基础上,针对该数学模型多目标、非线性的特点,提出一种采用编程简单、鲁棒性强的ACO(蚁群算法)对该多目标优化问题进行求解的新方法。结果 Matlab仿真结果表明,ACO在求解高浓磨浆过程多目标优化问题时,能够快速地找到符合生产工艺要求的最优解。结论基于ACO的多目标优化不仅提高了瓦楞纸制浆产量,而且降低了生产能耗。同罚函数相比,更好地实现了优质、高产、低能耗的生产目标。
The work aims to improve the pulping yield and reduce the pulping energy consumption, thus improving the production of corrugated paper and reducing the production energy consumption, under the premises of ensuring the pulping quality. Based on the analysis and establishment of the mathematical model for high consistency pulping process, in view of the multi-objective and nonlinear characteristics of such mathematical model, a new method of solving the multi-objective optimization problem with a simple and robust ACO（ant colony algorithm） was put forward. The results of Matlab simulation showed that ACO could quickly find the optimal solution that met the requirements of the production process when solving the multi-objective optimization problem of high consistency pulping process. The multi-objective optimization based on ACO not only improves the pulping yield of corrugated paper, but also reduces the energy consumption. Compared with the penalty function, the production target of high quality, high yield and low energy consumption is better realized.
出处
《包装工程》
CAS
北大核心
2017年第21期83-87,共5页
Packaging Engineering
基金
陕西省重点科技创新团队计划(2014KCT-15)
关键词
高浓磨浆
多目标优化
ACO
high consistency pulping
multi-objective optimization
ACO
