FlyAntClass: Intelligent move for ant based clustering algorithm

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)(2016)

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摘要
This paper provides a new method for arranging data sets into clusters. The proposed model, called FlyAntClass, starts from the ants collective sorting behavior and overwrites it with additional behaviors inspired from birds and spiders: in this context, birds' moving behavior is used to control next relative positions for a moving ant; and spiders' homing behavior is provided to manage movements of ants with conflict situation.
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关键词
artificial intelligence,swarm intelligence,artificial ants,data clustering problem,LF algorithm
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