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微小卫星的自适应蚁群算法装配序列规划
引用本文:孙康,廖文和.微小卫星的自适应蚁群算法装配序列规划[J].机械制造与自动化,2007,36(3):24-27,29.
作者姓名:孙康  廖文和
作者单位:南京航空航天大学机电学院,江苏,南京,210096
摘    要:介绍了复杂的卫星零件装配通过构造装配矩阵将改进蚁群算法用于生成装配序列的方法.但是蚁群算法容易陷入局部最优,为了避免算法陷入局部最优或者停滞,运用自适应伪随机比率选择规则,通过信息素的局部和全局更新,帮助"蚁群"快速的寻找全局最优解,最后通过实例验证了算法的实用性.

关 键 词:卫星装配  虚拟装配  装配序列规划  蚁群算法  微小卫星  自适应  改进蚁群算法  装配序列规划  Small  Satellite  ant  Colony  Algorithm  self  Adaptive  Based  Planning  sequence  实例验证  全局最优解  快速  信息素  选择规则  伪随机  运用  局部  方法  矩阵
文章编号:1671-5276(2007)03-0024-04
修稿时间:2007-01-11

Assemble sequence Planning Based on the self Adaptive ant Colony Algorithm in the Small Satellite
SUN Kang,LIAO Wen-he.Assemble sequence Planning Based on the self Adaptive ant Colony Algorithm in the Small Satellite[J].Machine Building & Automation,2007,36(3):24-27,29.
Authors:SUN Kang  LIAO Wen-he
Affiliation:College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210096, China
Abstract:For complicate assembling of satellite, an improved ant colony optimization algorithm is introduced, in order to generate assembly sequence through an assembly relation matrix. But it is easy to fall in local peak, and an adaptive pseudo random proportional action choice rule is used to avoid local peak. Though the methods, which update the local and full pheromone, we could help the ants search the optimiurn result in the whole range quickly. Finally, an example illustrates the effectiveness of the strategy.
Keywords:assemble of the satellite  virtual assembly  ant colony optimization  assembly sequence planning
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