纺织学报 ›› 2016, Vol. 37 ›› Issue (09): 151-155.

• 管理与信息化 • 上一篇    下一篇

应用改进遗传算法的自动配棉模型优化与应用

  

  • 收稿日期:2015-08-07 修回日期:2016-01-31 出版日期:2016-09-15 发布日期:2016-09-19

Optimum and application of automatic cotton blending based on high volume instrument data by improved genetic algorithm

  • Received:2015-08-07 Revised:2016-01-31 Online:2016-09-15 Published:2016-09-19

摘要:

针对配棉工艺具有多约束条件的特点和现有自动配棉的不足,提出将改进的遗传算法应用到线性规划优化求解问题中,通过改进遗传算法的初始种群生成策略、遗传算子和进化收敛条件,将配棉约束条件动态融合到种群进化过程中,在保证配棉约束条件的前提下,兼顾了求解的效率和有效性,以达到对自动配棉进行优化的目的。应用结果显示:用改进遗传算法对配棉模型的求解优于基本遗传算法,且配棉的各项指标值符合生产技术要求,在满足混棉质量的前提下,该方法能指导技术人员对候选棉和库存棉做出更合理的选择,有效降低了配棉成本。

关键词: 自动配棉, 配棉模型, 改进遗传算法, 多约束条件

Abstract:

Aiming at the characteristics of multi-constraints condition and the deficiency of the existing automatic cotton blending, the improved genetic algorithm is applied to linear programming optimization problem. By improving generation strategy of the initial population, genetic operators and evolutionary convergence condition, constraint conditions of cotton blending will be fused dynamically with the evolution process so as to optimize automatic cotton blending. The experimental results show that the solution of the improved genetic algorithm is superior to that of the basic genetic algorithm and all index values of cotton blending are in line with the requirements of production technology. The cost of cotton blending can be reduced effectively under the premise of meeting the quality of mixed cotton. It also provides a new method and technical reference for the process design of cotton blending.

Key words: automatic cotton blending, cotton blending model, improved genetic algorithm, multi-constraints condition

[1] 邱兆宝.配棉混包排列优化模型与效果评价[J].棉纺织技术,2013,41(4):218-219. [2] 陈怀忠,何仁初,史桂丽.基于改进PSO算法的自动配棉工艺参数优化设计[J].纺织学报,2014,35(6):142-143. [3] 丁志荣.改进的方案组合配棉方法研究[J].纺织学报,2005,26(3):38-39. [4] 杜兆芳,刘小平,韩江洪.基于改进微分进化算法的优化配棉[J].纺织学报,2011,32(7):35-36. [5] 宋楚平,蔡彬彬,李少芹.基于SVM的纱线生产工艺智能优化研究[J].毛纺科技,2015,43(7):14-15. [6] 郭光振.基于HVI公检数据的配棉技术和案例分析[J].棉纺织技术,2014,42(4):11. [7] 李成国,范秀娟.改进混合遗传算法在自动配棉上的应用[J].纺织学报,2009,30(3):29.

[1] 张增强;黄马壮. 粒子群算法在计算机自动配棉优化中的应用[J]. 纺织学报, 2011, 32(2): 44-47.
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