Agent-based Transportation Control with Pheromone Communication

In this paper, we present an agent-based transportation routing method in a semi-conductor production line. The main characteristic of the proposed method is that each AGV agent individually searches candidates of its route with reference of the pheromone information based on the use of an analogy of Ant System. The proposed method is applied to several routing problems. The performances of the proposed method are compared with those of a Genetic Algorithm. The effectiveness of the proposed method is conrmed by many numerical examples. In order to demonstrate the effectiveness of the proposed method for an actual problem, the proposed method is applied to a dynamic motion planning. The proposed method ...