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叶片排序的逐步调优模拟搜索算法
引用本文:岳健民,柏宏斌,刘自川,廖翠华.叶片排序的逐步调优模拟搜索算法[J].四川理工学院学报(自然科学版),2005,18(1):88-94.
作者姓名:岳健民  柏宏斌  刘自川  廖翠华
作者单位:四川理工学院数学系,四川,自贡,643000;重庆垫江普顺学校,重庆,垫江,408300
摘    要:文章根据叶片重量和频率的工艺要求,讨论了压气机叶片的排序算法问题,该问题是一个NP难题,直接求解很困难。建立了一个组合优化模型,给出了逐步调整优化的模拟搜索算法,并利用MATLAB软件实现算法,且进行了实现的时间复杂度检验,最后求得了最优的结果。

关 键 词:叶片排序  NP难题  逐步调整优化  模拟搜索
文章编号:1673-1549(2005)01-0088-07
修稿时间:2004年10月18

Simulation Search Algorithm of the Computer Vanes with Progressively Adjusted Optimization
YUE Jian-min,BAI Hong-bin,LIU Zi-chuan,LIAO Cui-hua.Simulation Search Algorithm of the Computer Vanes with Progressively Adjusted Optimization[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2005,18(1):88-94.
Authors:YUE Jian-min  BAI Hong-bin  LIU Zi-chuan  LIAO Cui-hua
Institution:YUE Jian-min1,BAI Hong-bin1,LIU Zi-chuan2,LIAO Cui-hua2
Abstract:According to the technological requirements for weights and frequencies of the compressor vanes, we deeply discusse their permutation algorithm which is a NP difficult problem and it is not easy to directly solve. First a combination optimization model is constructed and a simulation search algorithm is offered on the basis of the progressive adjusted optimization; then the algorithm is carried out by using MATLAB software and obtained the test to the time complexity of the algorithm is conducted; last the optimization result of the mode is obtained.
Keywords:vanes permutation  NP difficult problem  progressively adjusted optimization  simulation  search  
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