关键词: 压气机, 混合遗传算法, 优化设计, 叶型, 模拟退火

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