航空学报 > 2007, Vol. 28 Issue (5): 1110-1115

基于改进蚁群算法的结构形状优化

宋锋,温卫东,崔海涛   

  1. 南京航空航天大学 能源与动力学院
  • 收稿日期:2006-08-31 修回日期:2007-03-27 出版日期:2007-10-15 发布日期:2007-10-15
  • 通讯作者: 宋锋

Structural Shape Optimization Based on an Improved Ant Colony Algorithm

Song Feng,Wen Weidong,Cui Haitao   

  1. College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautic
  • Received:2006-08-31 Revised:2007-03-27 Online:2007-10-15 Published:2007-10-15
  • Contact: Song Feng

摘要:

对TACO算法进行了改进,引入最大最小蚁群算法,并提出正实数编码方法和添加常数项的信息素更新技术,以增大算法搜索范围,简化搜索过程,降低挥发系数、信息素上下限等参数和优化函数值对算法的影响程度,改善算法的性能,提高算法的普遍适应性,并通过3个函数的优化求解,证明了其有效性。对于目标函数为隐式的复杂结构优化问题,提出将改进的蚁群算法与有限元方法相结合的方法,发展用于航空发动机涡轮盘的结构形状优化分析,结果表明所提出的方法是成功的。

关键词: 结构优化, 形状优化, 蚁群算法, TACO, 有限元方法

Abstract:

An improved ant colony algorithm is developed based on TACO. MAXMIN ant system is introduced. A new method of positiverealnumber coding is put forward for enlarging search range and simplifying search process. In order to reduce the influence of the evaporation coefficients, the most and least value of pheromone and the value of optimized function, a new technology of constantpheromone update is put forward. Thus the algorithmic performance and universality are improved.

Key words: structural , optimization, shape , optimization, ant , colony , algorithm, TACO, FEM

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