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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2006, Vol. 27 ›› Issue (1): 29-32.

• 论文 • Previous Articles     Next Articles

Design Optimization of Compressor Blades by Hybrid Genetic Algorithm

JIN Dong-hai, GUI Xing-min   

  1. School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2004-11-11 Revised:2005-01-17 Online:2006-02-25 Published:2006-02-25

Abstract: A preliminary research is carried out in the genetic simulated annealing algorithm and a numerical optimization platform is developed based on the hybrid genetic algorithm. The introduction of simulated annealing into genetic algorithm notably improves the efficiency and capability of optimization. The adaptive crosser and mutation operators are devised to maintain the variety of population and to ensure the convergence of algorithm. Having few control points, but allowing flexible manipulation, the Bezier representation is chosen to describe the two-dimensional compressor blade elements. The numerical optimization results show that the proposed numerical optimization platform works well with reasonable efficiency and robustness.

Key words: compressor, hybrid genetic algorithm, optimization, blade, simulated annealing

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