Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system
Jafferi, N and Tokhi, MO (2009). Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system. International Journal of Integrated Engineering. 1 (1), pp. 73-86.
|Authors||Jafferi, N and Tokhi, MO|
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.
|Keywords||Active noise control; Geometrical arrangement of system components; Multi-objective genetic algorithms; Physical extent of cancellation|
|Journal||International Journal of Integrated Engineering|
|Journal citation||1 (1), pp. 73-86|
|Publication process dates|
|Accepted||01 Jan 2009|
|Deposited||29 Apr 2020|
|Accepted author manuscript|
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