Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.748
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.
L.N. Wu, Y.D. Zhang, "A Genetic Ant Colony Classifier System", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 744-748, 2009, doi:10.1109/CSIE.2009.748