Los Angeles, CA
March 31, 2009 to April 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.
Y.D. Zhang, "A Genetic Ant Colony Classifier System", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 744-748, doi:10.1109/CSIE.2009.748