Title :
Expected value goal programming model for fuzzy scheduling problem
Author :
Peng, Jin ; Song, Kaoping
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Provides a fuzzy programming expected value model for a fuzzy parallel machine scheduling problem. A fuzzy simulation-based genetic algorithm is designed to solve the proposed model. Moreover, a numerical experiment is provided to illustrate the computational efficiency of the proposed approach
Keywords :
fuzzy set theory; mathematical programming; probability; scheduling; expected value goal programming model; fuzzy parallel machine scheduling problem; fuzzy programming; fuzzy simulation-based genetic algorithm; Computational modeling; Dispatching; Fuzzy systems; Genetic algorithms; Helium; Parallel machines; Parallel programming; Processor scheduling; Stochastic processes; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007306