MODIFIED ANT COLONY OPTIMIZATION ALGORITHM AND ITS APPLICATION IN VARIABLE SELECTION OF QSAR OF POLYCHLORINATED ORGANIC COMPOUNDS
2009 ◽
Vol 08
(05)
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pp. 783-798
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Keyword(s):
A modified ant colony optimization (ACO) algorithm was used for the selection of the variables that result in the best-fitted models for the bioconcentration factor (BCF) of polychlorinated organic compounds (PCOCs). The fitness function of the modified ACO is discussed in detail and a new expression for the fitness function is presented. The modified ACO is applied in quantitative structure–activity relationships of selected PCOCs for predicting BCFs and the best-fitting models by the ACO were obtained. The convergence velocity was acceptable.
2013 ◽
Vol 32
(2)
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pp. 444-447
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