The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Topic Discovery from Text Using Aggregation of Different Clustering Methods
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things
Journal of Network and Computer Applications
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Genetic algorithm has the ability of making a global quick and good research, while ant colony clustering algorithm has the capacity of processing distributed parallel with good feedback. The combination of the above two algorithms can make full use of own advantages and characteristics, and make clustering analysis better. Some experiments have proved that the new combination algorithm has more obvious advantages in optimization capacity and performance than some other common clustering algorithms.