optimiczing multi-response statistical problems using genetic algorithm and simulation

in this paper we present two methods to sole multi -response statistical problems in these methods we apply the desirability function , genetic algorithm and simulation methodology the desirability function is responsible for modeling the multi response statistical problem the genetic algorithm tries to optimize the model and finally the simulation approach generates required information the methods differ from each other in controlling the randomness of the problem.

Keywords:

multe -response , genetic algorithm , desirability function , simulation