针对多约束条件与多优化变量的大涵道比涡扇发动机循环参数优化问题,提出了自适应三次变异差分进化算法,运用多个Benchmarks多峰函数对算法进行验证,并将该算法与大涵道比涡扇发动机性能计算程序相结合,对多约束条件下的循环参数进行了优化.计算结果表明:自适应三次变异差分进化算法比传统差分进化算法收敛精度更高、收敛速度更快,大幅度提高了大涵道比涡扇发动机循环参数优化效果,适合解决大涵道比涡扇发动机循环参数优化问题.
To investigate the high bypass ratio turbofan propulsion cycle optimization utilizing the multi-constraints and multi-optimization variables,a self-adaptive three times variation differential evolution(STTVDE) was developed and verified by the Benchmarks multi-peak functions.The turbofan propulsion cycle parameters with multi-constraint parameters were optimized by incorporating STTVDE with the aero-engine performance program.The results demonstrate that the convergence precision of STTVDE is higher and the convergence speed of STTVDE is faster in comparison with differential evolution(DE).Besides,applying STTVDE,the efficiency of cycle parameter optimization is improved markedly.Therefore,the proposed method is considered as a promising method for turbofan propulsion cycle parameter optimization.