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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
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