DocumentCode :
2604935
Title :
A New Research of Resource Scheduling Based on Multi-agent Manufacturing Grid
Author :
Lu, Qiao ; Song, Ning ; Zhou, Shibing
Author_Institution :
Yunnan Zhaotong Normal Acad., Zhaotong, China
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
411
Lastpage :
414
Abstract :
According to the complex environment of wide-area, dynamic and heterogeneous in the manufacturing grid, how quickly and accurately discover and the schedule resources, enable QoS to achieve the desired effect, this paper presented the new method to discovering the resources of using Mobile Agent in the manufacturing grid, has designed the resources optimal goal, improved genetic ant colony algorithm way optimization strategy, might obtain the very good convergence speed and exact solutions after the simulation experiment certificate.
Keywords :
convergence; genetic algorithms; grid computing; mobile agents; multi-agent systems; production engineering computing; quality assurance; resource allocation; scheduling; QoS; complex environment; convergence speed; genetic ant colony algorithm; mobile agent; multiagent manufacturing grid; resource scheduling; resources optimal goal; Algorithm design and analysis; Ant colony optimization; Design optimization; Dynamic scheduling; Genetics; Job shop scheduling; Mobile agents; Pulp manufacturing; Scheduling algorithm; Virtual manufacturing; Manufacturing grid; Multi-Agent; Scheduling; ant colony; genetic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
Type :
conf
DOI :
10.1109/APWCS.2010.110
Filename :
5481177
Link To Document :
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