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2009 WRI World Congress on Computer Science and Information Engineering
A Genetic Ant Colony Classifier System
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
The genetic algorithm (GA) has been widely applied as a soft computing technique in various fields, while the ant colony algorithm (ACA) is a rapidly developing tool used for optimization. Based on the combination of the fast global search ability of GA and the positive feedback mechanism of ACO, a novel algorithm, named genetic ant colony algorithm (GACA) was proposed in the domain of pattern classification. Experiments show that the classifier based on GACA can achieve better performance than that the normal GA and ACA does.
Citation:
Y.D. Zhang, L.N. Wu, "A Genetic Ant Colony Classifier System," csie, vol. 5, pp.744-748, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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