Multi-Objective Genetic Algorithm Optimisation Approach for the Geometrical Design of an Active Noise Control Systems

  • N. Jafferi
  • M. O. Tokhi
Keywords: Active noise control, geometrical arrangement of system components, multiple objective genetic algorithms, physical extent of cancellation.

Abstract

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 problems. 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.

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How to Cite
Jafferi, N., & Tokhi, M. O. (1). Multi-Objective Genetic Algorithm Optimisation Approach for the Geometrical Design of an Active Noise Control Systems. International Journal of Integrated Engineering, 1(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/79
Section
Issue on Mechanical, Materials and Manufacturing Engineering