スモールワールド理論を用いたAGVの経路設計評価に関する研究

概要

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Automatically Guided Vehicles (AGVs) play an important role in realizing an autonomous decentralized production system. Up to day, most of the research on AGVs focuses on how they can acquire proper behaviors from a viewpoint of a multi-agent system. Recently, we proposed a new formula for the multi-agent system, in which an environment is adaptable to the agents as well as agents which are adaptable to the environment. In this paper, we proposed a new evaluation method for the AGVs environment, namely the AGVs path, by use of small world theory. Two characteristics, an averaged longest path and a clustering coefficient, in the small world are introduced to evaluate the AGV's path. Numerical calculation proves the proposed evaluation method gives us fruitful results to design the AGV's path.
旭川工業高等専門学校の論文
2006-03-06