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改进的粒子群算法在印刷业优化管理中的应用
Application of the improved particle swarm optimization algorithm in optimization management of printing industry
【摘要】 从印制质量及生产计划两个方面综合考虑,讨论印刷业优化管理的问题.首先对印刷品优先权的确定、印刷错误的研究,建立了印刷业多目标最优化的管理模型;其次通过改进的粒子群算法对该多目标问题进行优化.数值实例表明,该模型在印刷业优化管理中是有效可行的.
【Abstract】 The optimum management problems are discussed in printing industry,considering the printing quality and production planning.Firstly,on the foundation of the identification of priority printed and printing the wrong research,this paper presents an optimization of the management model about printing industry.Secondly,this paper uses improved PSO algorithm on the issue of multiple target optimization.The result shows that the model goes well in optimization management of printing industry.
【关键词】 印刷业;
多目标优化;
粒子群算法;
【Key words】 printing industry; multiple target optimization; particle swarm optimization;
【Key words】 printing industry; multiple target optimization; particle swarm optimization;
【基金】 陕西省教育厅科学研究计划项目(07JK376)
- 【文献出处】 西南民族大学学报(自然科学版) ,Journal of Southwest University for Nationalities(Natural Science Edition) , 编辑部邮箱 ,2009年01期
- 【分类号】TS801;O224
- 【下载频次】94