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Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm
Sydney Australia November 28-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.183International Conference on Computati ...
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Xiaohong Peng, Zhong Liu, Jincai Huang, Dongsheng Yang, "Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 53, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.
 
 
BibTex
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@article{ 10.1109/CIMCA.2006.183,
author = {Xiaohong Peng and Zhong Liu and Jincai Huang and Dongsheng Yang},
title = {Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {53},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.183},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm
SN - 0-7695-2731-0
SP
EP
A1 - Xiaohong Peng,
A1 - Zhong Liu,
A1 - Jincai Huang,
A1 - Dongsheng Yang,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Xiaohong Peng, National University of Defense Technology Changsha, Hunan Province, China
Zhong Liu, National University of Defense Technology Changsha, Hunan Province, China
Jincai Huang, National University of Defense Technology Changsha, Hunan Province, China
Dongsheng Yang, National University of Defense Technology Changsha, Hunan Province, China
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.
Citation:
Xiaohong Peng, Zhong Liu, Jincai Huang, Dongsheng Yang, "Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm," cimca, pp.53, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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