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2013 International Conference on Information Networking (ICOIN)
Application of genetic algorithm for logistics based on multi-agent system
Bangkok Thailand
January 28-January 30
ISBN: 978-1-4673-5740-1
Ho Kuen Song, College of Information & Communication Engineering Sungkyunkwan University, Suwon, Korea
Kwang Myung Kim, College of Information & Communication Engineering Sungkyunkwan University, Suwon, Korea
Kyung Tae Kim, College of Information & Communication Engineering Sungkyunkwan University, Suwon, Korea
Hee Yang Youn, College of Information & Communication Engineering Sungkyunkwan University, Suwon, Korea
Logistics is a crucial ingredient in the operation of an organization. Here how to efficiently deliver the supplies to the consumers in the field under the given condition is the key issue. The general logistics system is usually too complex to be modeled mathematically, or the models are overly computation intensive to be applied in real-time environment. This paper proposes a new method for logistics based on multi-agent system using modified A∗ algorithm to find the best route between the agents. In addition, genetic algorithm and K-medoids algorithm are used for selecting and clustering the agents to maximize the throughput of logistics. Computer simulation verifies the efficiency of the proposed scheme for a complicated application domain of military logistics.
Index Terms:
A∗ Algorithm,Multi-Agent,Logistics,Distributed Simulation,Genetic Algorithm,K-Medoids Algorithm
Citation:
Ho Kuen Song, Kwang Myung Kim, Kyung Tae Kim, Hee Yang Youn, "Application of genetic algorithm for logistics based on multi-agent system," icoin, pp.309-314, 2013 International Conference on Information Networking (ICOIN), 2013
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