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
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