Title :
Models and algorithms for fuzzy random scheduling problems
Author_Institution :
Dept. of Math., Huanggang Normal Univ., Hubei, China
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382093
