DocumentCode :
3419521
Title :
Research on Dynamic Container Truck Scheduling Based on Energetic Algorithm and MAS
Author :
Li Guang-ru ; Zhi Sun
Author_Institution :
Navig. Coll., Dalian Maritime Univ., Dalian, China
Volume :
3
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
532
Lastpage :
537
Abstract :
This paper applies the up-to-date intelligent simulation ant colony algorithm to dynamic container truck scheduling. It proposes to take in real-time traffic information through GPRS and to solve the problem on container truck scheduling with consideration of the optimal capability of ant colony in the searching process of food resources. Meanwhile, it puts genetic algorithm into ant colony algorithm to improve the efficiency. Furthermore, computer simulation technique is to be used to combine scheduling model with the process, and then the dynamic container truck scheduling model is established.
Keywords :
genetic algorithms; multi-agent systems; packet radio networks; real-time systems; scheduling; traffic information systems; GPRS; computer simulation technique; container truck scheduling; dynamic container truck scheduling; energetic algorithm; food resources searching process; genetic algorithm; intelligent simulation ant colony algorithm; multi-agent systems; real time traffic information; Algorithm design and analysis; Containers; Dynamic scheduling; Heuristic algorithms; Real time systems; Vehicles; Entropy container truck scheduling; MAS; ant colony algorithm; energetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.350
Filename :
5656752
Link To Document :
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