DocumentCode
3000254
Title
Approach to the distributed job shop scheduling based on multi-agent
Author
Yu-xian, Zhang ; Lei, Li ; Hong, Wang ; Yan-Yan, Zhao ; Xu, Guo ; Chun-Hua, Meng
Author_Institution
Guilin Univ. of Electron. Technol., Guilin
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
2031
Lastpage
2034
Abstract
Based on the intelligent and agile characteristics of a multi-agents system and the optimizatical capacity of genetic algorithm, a distributed jobshop scheduling method is presented. A multi-agents based model of distributed scheduling system is established, then a distributed scheduling mechanism integrating multi-agents and GA and dynamic scheduling strategies based on multi-agent negotiation are proposed. Finally, a simulation experiment on solving the distributed dynamic scheduling with the methods is given. Simulation results show that the presented scheduling strategy is feasible and effective.
Keywords
distributed processing; dynamic scheduling; genetic algorithms; job shop scheduling; multi-agent systems; distributed job shop scheduling system; dynamic scheduling strategy; genetic algorithm; multiagent system; optimization; Dynamic scheduling; Flexible manufacturing systems; Genetic algorithms; Intelligent agent; Job shop scheduling; Manufacturing processes; Manufacturing systems; Multiagent systems; Optimization methods; Production facilities; Distributed scheduling system; Genetic algorithm; Multi-Agent system; Negotiation mechanism;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636496
Filename
4636496
Link To Document