Optimization of Principal Dimensions of Radial Flow Gas Turbine Rotor Using Genetic Algorithm

The choice of principal dimensions of turbine rotor for a given set of inlet design specification can be found by solving aerodynamic equations. An analytical method is indeed difficult and can be very time consuming, especially if the complete pr ocedure has to be repeated for different cases. In view of this, numerical optimization technique can be useful tool to problems involving a large number of variables. Among the heuristics algorithms, most common and used ones are the Evolutionary algorithms, and in particular the Genetic algorithm (GA). They are most robust, since they can be used for real and discrete variables, in highly or weakly non-linear problem types. In this paper an attempt is made to solve the numerical optimization problem for radial flow gas turbine rotor using Genetic Algorithms.