DocumentCode
424150
Title
Models and algorithms for fuzzy random scheduling problems
Author
Jin, Peng
Author_Institution
Dept. of Math., Huanggang Normal Univ., Hubei, China
Volume
3
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1920
Abstract
This paper deals with the scheduling problems on a single machine in fuzzy random environments. Three types of fuzzy random programming models are provided for single machine scheduling with fuzzy random processing times. A hybrid intelligent algorithm is designed to solve the proposed models and its effectiveness is illustrated by numerical experiments.
Keywords
fuzzy set theory; genetic algorithms; mathematical programming; random processes; single machine scheduling; fuzzy random processing; fuzzy random programming models; fuzzy random scheduling problems; genetic algorithms; hybrid intelligent algorithm; single machine scheduling; Algorithm design and analysis; Machine intelligence; Machine learning algorithms; Mathematics; Possibility theory; Random variables; Scheduling algorithm; Single machine scheduling; Stochastic processes; Uncertainty;
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.2004.1382093
Filename
1382093
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