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作 者:张红钢[1] 姜雁斌[1] 张志豪[1] 谢建新[1]
机构地区:[1]北京科技大学新材料技术研究院,北京100083
出 处:《北京科技大学学报》2012年第11期1294-1300,共7页Journal of University of Science and Technology Beijing
基 金:国家自然科学基金资助项目(50634010)
摘 要:提出了一种采用LabVIEW并行运算提高传统遗传算法计算速度的方法,可实现多核计算机多线程的同时运算,从而大幅度提高运算效率.Ni--Ti合金线材无模拉拔初始阶段拉拔速度路径优化结果表明,在八核计算机上采用基于LabVIEW的多线程并行运算程序,与基于文本编程的MATLAB运算程序相比,前者运算时间仅为后者的1/8左右.Ni--Ti合金线材无模拉拔实验结果表明,采用本文智能优化后的拉拔速度路径,可使线材直径波动长度缩短至24 mm,远小于线性或S线型路径的最小直径波动长度.A optimization method based on LabVIEW parallel operation was proposed to improve the computing speed of the traditional genetic algorithm.When applied in a multi-core computer,the optimization method can achieve multithreading concurrent operations,thereby improving the efficiency of computation obviously.The initial speed-path of Ni-Ti alloy wire dieless drawing was optimized in an eight-core computer by using the optimization method.Compared with a method based on MATLAB program,the operation time of the optimization method is only about 1/8 as long as that of the former.Experimental results show that after adopting the optimized speed-path,the length of diameter fluctuation is about 24 mm,which is far less than that of other speed-paths such as the S-line style or linear path.
分 类 号:TG302[金属学及工艺—金属压力加工] TG359
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