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Water 2011, 3(1), 177-195; doi:10.3390/w3010177
Article

Biosorption Parameter Estimation with Genetic Algorithm

1,* , 2
, 3
 and 4
Received: 23 December 2010; in revised form: 25 January 2011 / Accepted: 29 January 2011 / Published: 16 February 2011
(This article belongs to the Special Issue Science and Technology of Wastewater and Sludge Treatment)
Download PDF [241 KB, uploaded 16 February 2011]
Abstract: In biosorption research, a fairly broad range of mathematical models are used to correlate discrete data points obtained from batch equilibrium, batch kinetic or fixed bed breakthrough experiments. Most of these models are inherently nonlinear in their parameters. Some of the models have enjoyed widespread use, largely because they can be linearized to allow the estimation of parameters by least-squares linear regression. Selecting a model for data correlation appears to be dictated by the ease with which it can be linearized and not by other more important criteria such as parameter accuracy or theoretical relevance. As a result, models that cannot be linearized have enjoyed far less recognition because it is necessary to use a search algorithm for parameter estimation. In this study a real-coded genetic algorithm is applied as the search method to estimate equilibrium isotherm and kinetic parameters for batch biosorption as well as breakthrough parameters for fixed bed biosorption. The genetic algorithm is found to be a useful optimization tool, capable of accurately finding optimal parameter estimates. Its performance is compared with that of nonlinear and linear regression methods.
Keywords: heavy metal; wastewater; modeling; adsorption; evolutionary computation heavy metal; wastewater; modeling; adsorption; evolutionary computation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chu, K.H.; Feng, X.; Kim, E.Y.; Hung, Y.-T. Biosorption Parameter Estimation with Genetic Algorithm. Water 2011, 3, 177-195.

AMA Style

Chu KH, Feng X, Kim EY, Hung Y-T. Biosorption Parameter Estimation with Genetic Algorithm. Water. 2011; 3(1):177-195.

Chicago/Turabian Style

Chu, Khim Hoong; Feng, Xiao; Kim, Eui Yong; Hung, Yung-Tse. 2011. "Biosorption Parameter Estimation with Genetic Algorithm." Water 3, no. 1: 177-195.


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