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