 2013, Vol. 26 Issue (2): 195-204 DOI: : 10.1103/PhysRevE.81.016207
[24] Wan Miao, Li Lixiang, Xiao Jinghua, et al |
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| Chaotic Ant Based Collaborative Optimization Algorithm in Distributed System |
| WEI Zhen1,GE Fang-Zhen1,2 ,LU Yang1,WANG Qiang1,LI Li-Xiang3 |
1.School of Computer and Information,Hefei University of Technology,Hefei 230009
2.School of Computer Science and Technology,Huaibei Normal University,Huaibei 235000
3.Information Security Center,Beijing University of Posts and Telecommunications,Beijing 100876 |
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Abstract To solve the optimization problem in complex distributed system (CDS),a collaborative optimization method based on chaotic ant swarm in CDS is presented. The basic dynamic characteristics of complex distributed systems are analyzed under the guide of system theory,and a model of collaborative optimization of CDS is proposed. Thus,a collaborative optimization in CDS is established based on the idea of chaotic ant swarm (CAS),called CAS based collaborative optimization (CAS-CO). The locality-based task allocation in complex networked multi-agent system is resolved by CAS-CO,and the comparison results of the proposed algorithm and the existing ones show that the CAS-CO algorithm is feasible and effective,and the proposed model is correct and the autonomy of an agent is of importance for the design and modeling of CDS.
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Received: 26 May 2011
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