DocumentCode
1699398
Title
Optimum on technological process based on genetic algorithms
Author
Zeng, Ruili ; Xiao, Yunkui ; Zhang, Wei ; Dai, Wenjun ; Mei, Jianmin
Author_Institution
Acad. of Mil. Transp., Tianjin, China
fYear
2010
Firstpage
5181
Lastpage
5185
Abstract
In order to solve some scheduling problems about multi-mission, multi-restriction and re-entrant multi-machine, model of timing Petri net is built, combination of technique on discrete event simulation and simulation algorithms based on dual code is proposed by using genetic algorithms,the optimized scheduling planning about technological process is computed. Maintain technological process of BJ2020 vehicle is optimized by using this method, simulation experimental result shows that maintain efficiency of vehicle can be improved by using this method, and it can be used in technological process in other areas.
Keywords
Petri nets; discrete event simulation; genetic algorithms; production planning; scheduling; BJ2020 vehicle; discrete event simulation; genetic algorithms; scheduling planning; simulation algorithms; technological process; timing Petri net; Algorithm design and analysis; Computational modeling; Discrete event simulation; Process control; Scheduling; Vehicles; Zinc; Petri net; discrete event simulation; genetic algorithms; simulation algorithms based on dual code;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554897
Filename
5554897
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