Abstract: Aiming at the problem of the solution to the generalized inverse algorithm for the compensation matrix inmulti-shaker random vibration control, the authors proposed a method for optimizing the initial values of the compensation matrix via the Genetic Algorithm ( GA), which resolved the problem with the nonlinearity and extremumsearching within a wide extent . The results show that, through a simulation experiment for the dual-shaker randomvibration control system, the computation time has been decreased under the same precision by introducing the generalized inverse methods to the random vibration control process to solve the compensation matrix with GA, and thesingular property near the resonance peaks has been improved. It makes the on-line applications of the generalizedinverse algorithm to the multi-shaker random vibration control be possible.

Key words: multi shaker, random vibration control, compensation matrix, generalized inverse, genetic algorithm