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Research Articles

ScienceAsia 33 (2007): 089-101 |doi: 10.2306/scienceasia1513-1874.2007.33.089

A Genetic Algorithm Approach to the Selection of Engineering Controls for Optimal Noise Reduction

Krisada Asawarungsaengkula and Suebsak Nanthavanijb*

 
ABSTRACT: The selection of engineering controls for workplace noise reduction can be formulated as a zero-one nonlinear programming problem which is NP hard. Given a noise control budget and a set of worker locations, the problem objective is to find a combination of feasible engineering controls to minimize a maximum daily noise load. A genetic algorithm (GA) is developed to find an optimal (or near-optimal) noise control solution. Suitable GA parameters and operations are determined from a computational experiment. GA is found to be efficient in solving engineering noise control problems irrespective of the problem size.

KEYWORDS: Genetic algorithm, noise reduction, optimization, knapsack problem, capital budgeting.

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a Industrial Engineering Program, Sirindhorn International Institute of Technology, Thammasat University Pathum Thani 12121, Thailand.
b Management Technology Program, Sirindhorn International Institute of Technology, Thammasat University Pathum Thani 12121, Thailand.

* Corresponding author, E-mail: suebsak@siit.tu.ac.th

Received 10 May 2006, Accepted 16 Aug 2006