基于智能代理体系的多载重AGV分散任务分配组合拍卖方法

2011 Second International Conference on Innovations in Bio-inspired Computing and Applications Pub Date : 2011-12-16 DOI:10.1109/IBICA.2011.56

M. Fauadi, Wan-Ling Li, T. Murata

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引用次数: 16

摘要

分布式制造系统已逐渐成为制造业研究的重要课题。这是因为它可以为组织提供更高的灵活性，以应对苛刻和波动的市场。针对制造业中多载重自动导引车(AGV)运行问题，提出了分布式任务分配机制。该体系结构基于多智能体系统(MAS)，任务分配基于组合拍卖方法。此外，还对标准组合竞价方法进行了必要的改进，以支持AGV任务分配机制的动态属性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Combinatorial Auction Method for Decentralized Task Assignment of Multiple-Loading Capacity AGV Based on Intelligent Agent Architecture

Distributed manufacturing system has steadily becoming more significant for topics for researchers within manufacturing industry. It is due to the reason that it could provide higher flexibility for an organization to cope with a demanding and fluctuating market. This paper proposes distributed task assignment mechanism for multi-load Automated Guided Vehicle (AGV) operation in manufacturing industry. The architecture is based on multi-agent system (MAS) while the task assignment is based on combinatorial auction method. Additionally, necessary improvement have been made to the standard combinatorial auction method to support dynamic attributes of AGV task assignment mechanism.

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2011 Second International Conference on Innovations in Bio-inspired Computing and Applications

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