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
Link To Document :
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