DocumentCode :
423847
Title :
Research on algorithms of task scheduling
Author :
Yang, Dong-Sheng ; Lu, Yin Long ; Liu, Zhong ; Zhang, Wei-Ming
Author_Institution :
Dept. of Manage. Sci. & Eng., National Univ. of Defense Technol., Hunan, China
Volume :
1
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
42
Abstract :
Interdependence of tasks necessitates complex scheme among agents in multi-agent systems (MAS). An effective task schedule is important to operations of an MAS and its task processing strategy. This paper defines the fitness between agent capability and task requirements, which is to measure the matching agent´s capability with task´s requirements, and the multidimensional dynamic list scheduling (MDLS) scheduling algorithms is improved on the course of assigning. The results from different priority coefficient are compared.
Keywords :
multi-agent systems; scheduling; task analysis; multiagent systems; multidimensional dynamic list scheduling; task scheduling algorithms; Decision making; Delay effects; Engineering management; Multiagent systems; Multidimensional systems; Noise measurement; Parallel processing; Resource management; Scheduling algorithm; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1380599
Filename :
1380599
Link To Document :
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