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	基于遗传算法的零件工步优化研究
	曹振 ; 李鑫 ; CAO Zhen ; LI Xin
	2010-06-09 ; 2010-06-09
关键词	复杂零件 工步顺序 工艺路线 遗传算法 Complex parts Step sequence Operating process Genetic algorithms TH162
其他题名	The study of optimization for steps sequence based on GA
中文摘要	对于复杂零件的加工,其工步顺序直接影响加工质量和生产效率。研究了工步排序原则和典型的工艺路线,以辅助加工时间最短为优化目标,建立了加工中心中零件加工工步排序数需模型。采用遗传算法对工步顺序进行优化,并在隔代映射遗传算法基础上引入自适应策略,使IP_GA中的交叉、变异概率根据适应度大小自动调节,提高了收敛速度及解的质量。实际应用表明,该方法可有效提高工艺规划系统中工步的优化排序能力。; There are manys teps for machining complex parts on a machining center,and the operat-ing sequence directly affects machining quality and machining efficiency.The analysis of step sequencing rules and typical processes had been studied,taking minimization of machine idle times as objective func-tion,an optimization model for sequencing machining steps on the machining center had been established.Genetic algorithms are introduced into optimization of sequencing machining steps,the self-adapting plot had been draw into mapped GA,so the probability of cross and variation can automatic adjust by fit de-gree,the convergence speed and the quality of result had been increased.The result shows that this method can improve operation optimization sequencing capability of process planning system.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/57314]
专题	清华大学
推荐引用方式 GB/T 7714	曹振,李鑫,CAO Zhen,等. 基于遗传算法的零件工步优化研究[J],2010, 2010.
APA	曹振,李鑫,CAO Zhen,&LI Xin.(2010).基于遗传算法的零件工步优化研究..
MLA	曹振,et al."基于遗传算法的零件工步优化研究".(2010).

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