Multiagent-Based Dynamic Deployment Planning in RTLS-Enabled Automotive Shipment Yard

Autor:	Soundar R. T. Kumara, Jindae Kim, Shang-Tae Yee, Changsoo Ok
Rok vydání:	2007
Předmět:	Real-time locating system Yard Software deployment Computer science business.industry Distributed computing Automotive industry ComputerApplications_COMPUTERSINOTHERSYSTEMS Architecture Auction algorithm business Simulation
Zdroj:	Advances in Artificial Intelligence ISBN: 9783540726647 Canadian Conference on AI
DOI:	10.1007/978-3-540-72665-4_4
Popis:	Real-time vehicle location information enables to facilitate more efficient decision-making in dynamic automotive shipment yard environment. This paper proposes a multiagent-based decentralized decision-making model for the vehicle deployment planning in a shipment yard. A multiagent architecture is designed to facilitate decentralized algorithms and coordinate different agents dynamically. The results of computational experiments show that the proposed deployment model outperforms a current deployment practice with respect to the deployment performance measures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9c39ed494f461ef376141f4cceeb6681 https://doi.org/10.1007/978-3-540-72665-4_4 Zobrazit plný text záznamu