Optimization of multi-stage axial-flow compressor based on stochastic ranking differential evolution algorithm

Stochastic Ranking Based Differential Algorithm is presented with the purpose of disposing constraints precisely and enhancing the reliability of the optimization of multi-stage axial compressor. Stochastic ranking is introduced to handle the complex constraints which are common emergence and then it is coupled with differential evolutionary algorithm. 13 bench-mark test functions are used to check the algorithm performance and satisfied results are obtained. The algorithm is validated by optimizing a five-stage compressor. 1.979% and 2.5% improvement is obtained for total pressure and isentropic efficiency, respectively, while all the constraints are obeyed.