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 :
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