Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition

The field of complex network clustering has been very active in the past several years. In this paper, a discrete framework of the particle swarm optimization algorithm is proposed. Based on the proposed discrete framework, a multiobjective discrete particle swarm optimization algorithm is proposed...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 18; H. 1; S. 82 - 97
Hauptverfasser:	Gong, Maoguo, Cai, Qing, Chen, Xiaowei, Ma, Lijia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering Clustering algorithms Complex networks Computational fluid dynamics Decomposition evolutionary algorithm Fluid flow multiobjective optimization Networks Optimization Optimization algorithms Particle swarm optimization Sociology Statistics Swarm intelligence Turbulence
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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