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

Jafferi, Noormaziah and Tokhi, M. O. (2009) Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control systems. International Journal of Integrated Engineering, 1 (1). pp. 73-86. ISSN 1985-854X

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Official URL: http://penerbit.uthm.edu.my/ejournal/

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.

Item Type:Article
Uncontrolled Keywords:active noise control; geometrical arrangement of system components; multiple objective genetic algorithms; phsyical extent of cancellation
Subjects:T Technology > TA Engineering (General). Civil engineering (General) > TA365-367 Acoustics in engineering. Acoustical engineering
Divisions:Faculty of Mechanical and Manufacturing Engineering > Department of Engineering Mechanics
ID Code:479
Deposited By:Nurhafiza Hamzah
Deposited On:25 Nov 2011 11:41
Last Modified:25 Nov 2011 11:41

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