Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system

This paper focuses on the geometrical design of active noise control (ANC) in free-field propagation medium. The development and performance assessment uses genetic optimisation techniques to arrange system components so as to satisfy several performance requirements, such as physical extent of cancellation, controller design restriction and system stability. The ANC system design can be effectively addressed if it is considered as multi-objective optimisation problem. The multi-objective genetic algorithms (MOGAs) are well suited to the design of an ANC system and the approach used for it is based on a multi-objective method, with which the physical extent of cancellation and relative stability assessment are dealt with simultaneously.