Ant Colony Optimization
Performance of pheromone model for predicting traffic congestion
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The environment: an essential abstraction for managing complexity in MAS-Based manufacturing control
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
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Since the control methods of a transport system between processing machines are specialized for each layout of the system, it is difficult to design prompt schedules and control logic for new complicated systems, especially in cases of machine faults or restructuring the system to modify the layout. In this article, we describe a multiagent transport control system which utilizes pheromone information. Each element of the system acts as an agent and estimates the appropriate path and time to drive out the products using information obtained by communication with other elements as well as pheromone information deposited on the tracks of the products.