An improved ant colony algorithm combined with genetic algorithm and its application in image segmentation

Abstract

This article applies the improved ant colony algorithm to the fuzzy c-means clustering, which overcomes sensitivity to initialization of fuzzy clustering method(FCM). This article improves the shortcomings which the traditional genetic algorithm and the ant colony algorithm work step-by-step, makes the mix algorithm work in the entire cluster's process, simultaneously, puts the a swarm degree function in the ant colony algorithm, enhanced the ant algorithm search of the overall situation, increase the algorithm traversal the optimization capacity. © 2013 Springer-Verlag.