Title :
A Multi-Agent Approach to Support MMS
Author :
Zhu, Zhen ; Lei, Fei
Author_Institution :
Foshan University, Foshan 528000, Guangdong, P. R. China; E-MAIL: augustjune@fosu.edu.cn
Abstract :
This work concerns the use of multi-agent system models as a paradigm to support multi-machine scheduling (MMS). Jobs can be allocated to processor dynamically by the cooperation of distributed agents with the contracting net protocol. An optimal model of multi-machine scheduling was proposed; furthermore, the function and the negotiation protocol were defined. The way of generation for initial group and crossover method has also been discussed to improve the efficiency of the genetic algorithm.
Keywords :
Contracting net; Genetic algorithm; Multi-Agent; Multi-machine scheduling (MMS); Negotiation protocol; Automation; Computer architecture; Costs; Dynamic scheduling; Genetic algorithms; Heuristic algorithms; Multiagent systems; Parallel machines; Processor scheduling; Protocols; Contracting net; Genetic algorithm; Multi-Agent; Multi-machine scheduling (MMS); Negotiation protocol;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1526973
