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
fDate :
Nov. 28 2006-Dec. 1 2006
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;
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
DOI :
10.1109/CIMCA.2006.183