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Volume 40 Issue 7
Jul.  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(7): 965-969.
Xu Min, Huang Peilin, Yan Ying, et al. Dynamic index based method for multi-objective optimization in aircraft conceptual design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 965-969. doi: 10.13700/j.bh.1001-5965.2013.0447(in Chinese)
Citation: Xu Min, Huang Peilin, Yan Ying, et al. Dynamic index based method for multi-objective optimization in aircraft conceptual design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 965-969. doi: 10.13700/j.bh.1001-5965.2013.0447(in Chinese)
shu

Dynamic index based method for multi-objective optimization in aircraft conceptual design

doi: 10.13700/j.bh.1001-5965.2013.0447

  • 1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;

  • 2. Training Department, Institute of Army Aviation, Beijing 101116, China

  • Received Date: 30 Jul 2013
  • Publish Date: 20 Jul 2014
    Abstract
  • To increase the search efficiency of optimal solution in aircraft conceptual design multi-objective optimization, comparison evaluation technique for multi-objective model was studied along with the implementation. Index benchmark (IB) was proposed for multi-objective model comparison, and dynamic index (DI) was conducted by updating the IB with the objective value of new solutions. Then multi-objective genetic algorithm (MOGA) was improved through conducting the fitness model with DI. The results of some optimization with two objectives indicate that better Pareto front can be obtained through the improved algorithm. Finally, the improved MOGA with DI (DIMOGA) was used in the multi-objective optimization of a light fighter conceptual design, including four optimal objectives in discipline on weight, aerodynamic, and stealth. The optimization results validate the effectiveness of DIMOGA method in the aircraft conceptual design optimization.

     

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