DocumentCode :
2595781
Title :
A heuristic dispatch rule based on statistics and Bayes decision
Author :
Han, Song ; Zhang, Jian ; Wang, Jiaxin
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
1128
Abstract :
In this paper, a heuristic rule based on statistics and Bayes decisions is proposed. A new scheduling system is more efficient because it makes better use of known information by composing some simple dispatch rules. The result of the schedule procedure is improved without increasing the cost considerably
Keywords :
Bayes methods; decision theory; heuristic programming; optimisation; scheduling; statistics; Bayes decisions; cost; heuristic dispatch rule; optimisation; scheduling system; statistics; Boolean functions; Computer science; Constraint optimization; Costs; Finishing; Intelligent systems; Job shop scheduling; Laboratories; Processor scheduling; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.669160
Filename :
669160
Link To Document :
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