In this study, a computational optimization framework is presented to identify active noise control systems for vehicle enclosures. The adopted optimization approach determines optimum configuration of an array of secondary sound sources to suppress noises with low frequency (under 500 Hz) due to engine performance. The overall framework is conducted via a particle swarm optimization algorithm coupled with a modified modal interaction method developed to estimate sound field inside enclosures. The applicability of the proposed optimization approach has been examined with two enclosures of different size by considering 1-speaker and 2-speaker array options as a secondary sound source. The numerical investigation shows that, with the determined optimum configurations, a significant noise reduction may be obtained in vehicle enclosures.