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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
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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. 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.
出处 《西南民族大学学报(自然科学版)》 CAS 2009年第1期8-11,共4页 Journal of Southwest Minzu University(Natural Science Edition)
基金 陕西省教育厅科学研究计划项目(07JK376)
关键词 印刷业 多目标优化 粒子群算法 printing industry multiple targe optimization particle swarm optimization
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  • 1陈昌领,冯晓东,邵惠鹤.单生产线序贯多目的批处理过程短期调度的MILP建模[J].系统仿真学报,2001,13(z1):69-71. 被引量:3
  • 2[1]Y Shi, R C Eberhart. Parameter selection in particle warm adaptation[A]. Evolutionary Programming Ⅶ[C]. Berlin: [sn], 1997. 591~600.
  • 3[2]J Kennedy, R C Eberhart. Particle swarm optimization[A]. Proc IEEE Int Conf Neural Networks[C]. Perth: [sn], 1995. 1942~1948.
  • 4[3]R G Reynolds, C J Chung. Knowledge-based self-adaptation in evolutionary programming using cultural algorithms[A]. Proc IEEE Int Conf Evolutionary Computation[C]. Indianapolis: [sn], 1997: 71~76.
  • 5BELLMAN R E,ZADEH L A.Decision making in a Fuzzy environment[J].Manage Sci,1970,17(4):145-164.
  • 6ISHIL H,TADA M,MASUDA T.Two scheduling problems with fuzzy due-dates[J].Fuzzy Sets and Systems,1992,46:339-347.
  • 7ISHIBUCHI H,YAMAMOTO N,MURATA T,et al.Genetic algorithms and neighborhood search algorithms for fuzzy flow shop scheduling problems[J].Fuzzy Sets and Systems,1994,67(1):81-100.
  • 8SALVADOC M SA solution of a special class of flow shop scheduling problems[C]//Proceedings of the Symposium on the Theory of Scheduling and Its Applications.Berlin:Springer-Verlag,1973:83-91.
  • 9EBERHART R,KENNEDY J.A new optimizer using particle swarm theory[C]//Proc 6th Int Symposiumon Micro Machine and Human Science,Nagoya,1995:39-43.
  • 10KENNEDY J,EBERHARD R C.A discrete binary version of the particle swarm optimization[C]//Proc of the Conference on System,Man and Cybernetics SMC9,1997:4104-4109.

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