GA Approach to Multiple Objective Optimization for Active Noise Control

Abstract In this paper, a novel system is proposed to obtain global noise control within an enclosure. Instead of using the traditional least squares method for the controller design, the emerging technology of Genetic Algorithms is applied for the design of an optimal multi-channels active noise control system. The advantage of this system is that it has the ability to tackle a multi-objectives error function problem so that a global noise reduction is achieved. Experimental result has illustrated that it is effective for achieving global quietness for an enclosed environment.