Title :
Learning based dynamic approach to job-shop scheduling
Author :
Wei, Liang ; Haibin, Yu
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Abstract :
Dynamic selection of scheduling rules during real operations has been recognized as a promising approach to the scheduling of the production. This paper studies the dynamic job-shop scheduling and presents a fuzzy logic based learning approach. Experiment results show that the presented method outperforms the basic rules which are proved to perform well for such problem and that the proposed approach computes quickly enough to meet the requirements of dynamic scheduling
Keywords :
computer aided production planning; fuzzy logic; learning (artificial intelligence); probability; production control; real-time systems; dynamic scheduling; fuzzy logic; induced learning; job-shop scheduling; probability distribution; production control; real time system; scheduling rules; Artificial intelligence; Dispatching; Dynamic scheduling; Fuzzy logic; Job shop scheduling; Probability distribution; Processor scheduling; Production; Single machine scheduling; Vehicle dynamics;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983069
