IEEE Congress on Evolutionary Computation, CEC 2015


Article Details
Title: A particle swarm optimization approach for handling network social balance problem
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Authors: Qing Cai
  • IEEE, Senior Member
Maoguo Gong
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Key Laboratory of Intelligent Perception and Image Understanding
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Ministry of Education
  • Xidian University, Xi’an, Shaanxi Province 710071, China, International Research Center for Intelligent Perception and Computation
Lijia Ma
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Key Laboratory of Intelligent Perception and Image Understanding
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Ministry of Education
  • Xidian University, Xi’an, Shaanxi Province 710071, China, International Research Center for Intelligent Perception and Computation
Shanfeng Wang
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Key Laboratory of Intelligent Perception and Image Understanding
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Ministry of Education
  • Xidian University, Xi’an, Shaanxi Province 710071, China, International Research Center for Intelligent Perception and Computation
Licheng Jiao
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Key Laboratory of Intelligent Perception and Image Understanding
  • Xidian University, Xi’an, Shaanxi Province 710071, China, Ministry of Education
  • Xidian University, Xi’an, Shaanxi Province 710071, China, International Research Center for Intelligent Perception and Computation
Haifeng Du
  • Xi’an Jiaotong University, Xi’an, Shaanxi Province 710049, China, Center for Administration and Complexity Science
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DBLP Key: conf/cec/CaiGMWJD15
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