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As a novel evolutionary computation technology, swarm intelligence is now becoming a new research hotspot. As a representative method of swarm intelligence, ant colony optimization (ACO) is a novel simulated evolutionary algorithm which was proposed first by M. Dorigo and has been applied in many fields. The current status of ACO applications is given in this paper.
The swarm intelligence is attracted by scholars in many fields by its special advantages, and its theories and applications have been developed greatly. As a representative method of swarm intelligence, ant colony optimization (ACO) is used widely because of its realization simply, positive feedback and distribution. The review of the new applications for ACO and its prospect are given in this paper.
Multi-agents system plays a critical role more and more in the research of distributed artificial intelligence. In a multi-agents system, the model structure is the precondition for multi-agents to cooperate to perform the assigned task. This paper gives the review of models for multi-agents system and their applications.
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