Performance of the genetic annealing algorithm in DFM synthesis of dynamicmusical sound samples

A qualitative analysis of the performance of a genetic annealing algorithm (GAA) is presented. The GAA is applied in the double frequency modulation D FM parameter optimization problem. It is shown that the GAA can optimize th e solution to the global minimum by plotting the solution spaces of one DFM equation for all samples. Dynamic musical sounds were synthesized using th e DFM synthesis technique. A recycling process is also proposed to improve the efficiency of the GAA process. The resulting dynamic sounds synthesized by the DFM are presented and compared with those of real samples.