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Bangkok Thailand
Jan. 28, 2013 to Jan. 30, 2013
ISBN: 978-1-4673-5740-1
pp: 309-314
Ho Kuen Song , Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
Kwang Myung Kim , Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
Kyung Tae Kim , Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
Hee Yang Youn , Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
ABSTRACT
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
Sociology, Statistics, Logistics, Genetic algorithms, Clustering algorithms, Computational modeling, Algorithm design and analysis,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, 2013, The International Conference on Information Networking 2014 (ICOIN2014), The International Conference on Information Networking 2014 (ICOIN2014) 2013, pp. 309-314, doi:10.1109/ICOIN.2013.6496395
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