DocumentCode :
3428146
Title :
Research on the Manufacturing System Production Scheduling Problem Based on the Genetic Algorithm
Author :
Shi, Ying
Author_Institution :
Sch. of Manage. Sci. & Eng., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
433
Lastpage :
436
Abstract :
Scheduling problem of material processing is one of the intellectual scheduling problems and its model is as general as any other practical problem. The current theoretical research result of scheduling problems is mainly about material processing which represents the scheduling problems based on minimum completing time. Genetic Algorithm is a kind of random searching method that imitates creatures´ natural evolution and it has been applied to job shop scheduling in recent years. Taking a job-shop for example, Genetic Algorithm was used to solve the job-shop scheduling problems. The algorithm scheme was proposed, and the proposed genetic algorithm was run. A satisfactory solution could be quickly got.
Keywords :
genetic algorithms; job shop scheduling; manufacturing systems; production control; random processes; search problems; genetic algorithm; job shop scheduling; manufacturing system production scheduling; material processing; minimum completing time; random searching method; Algorithm design and analysis; Arrays; Computers; Job shop scheduling; Processor scheduling; genetic algorithm; intellectual scheduling; job-shop scheduling problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.211
Filename :
5657172
Link To Document :
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