Combustion control and performance evaluation for scramjets need effective measurement information
therefore it is important to choose the optimal location and number of sensors.This problem is a combinatorial optimization problem which is difficult to solve.This paper applies genetic algorithm to choose the optimal location and number of sensors
and the genetic algorithm performs a parallel
non-comprehensive search for the global optimal results.