Volume 24 Issue 2
Feb.  2009
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CHE Jing, TANG Shuo, WANG Wen-zheng, HE Kai-feng. New ant colony algorithm and its application on optimization design of flight vehicle[J]. Journal of Aerospace Power, 2009, 24(2): 262-268.
Citation: CHE Jing, TANG Shuo, WANG Wen-zheng, HE Kai-feng. New ant colony algorithm and its application on optimization design of flight vehicle[J]. Journal of Aerospace Power, 2009, 24(2): 262-268.

New ant colony algorithm and its application on optimization design of flight vehicle

  • Received Date: 2008-01-27
  • Rev Recd Date: 2008-08-22
  • Publish Date: 2009-02-28
  • Ant colony algorithm(ACA) is a new bionic optimization algorithm developed in recent years.With global and efficient characteristics,it has been applied in discontinuous space successfully.To introduce it to aircraft design field,a high dimensional,multi-objective and multi-restrained ACA for continuous space was built.In an example,it was applied to the multi-objective optimization design of aerodynamic configuration for hypersonic cruise vehicle(HCV).Through comparison with Pareto genetic algorithms(GA),ACA shows its advantage.Finally,from our research work,ACA has great reference values for complex,multidimensional and large-scale optimization problems in aircraft design field.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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