DocumentCode
3098621
Title
Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm
Author
Peng, Xiaohong ; Liu, Zhong ; Huang, JinCai ; Yang, Dongsheng
Author_Institution
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha
fYear
2006
fDate
Nov. 28 2006-Dec. 1 2006
Firstpage
53
Lastpage
53
Abstract
In MAS, organization is an effective solution mode to complicated problems. In this mode, the basic elements of agent organizational structure are defined, which provides a basic for the mathematical formulation of organizational structure designing. In this paper, a novel hybrid genetic algorithm is proposed, multi-PRI list dynamic scheduling method are nested in genetic algorithm to gain a new strategy. And the results and computation complexities of hybrid genetic algorithm and traditional multi-phase algorithms to address the problem of organization designing are analyzed and compared.
Keywords
genetic algorithms; multi-agent systems; scheduling; agent organizational structure; computation complexity; hybrid genetic algorithm; mathematical formulation; multiPRI list dynamic scheduling; multiphase algorithm; organizational structure designing; Algorithm design and analysis; Competitive intelligence; Computational intelligence; Design methodology; Design optimization; Dynamic scheduling; Genetic algorithms; Intelligent agent; Optimization methods; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
0-7695-2731-0
Type
conf
DOI
10.1109/CIMCA.2006.183
Filename
4052697
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