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  • 标题:A Novel Cultural Quantum-behaved Particle Swarm Optimization Algorithm
  • 本地全文:下载
  • 作者:X. Z. Gao ; Ying Wu ; Xianlin Huang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2012
  • 卷号:5
  • 期号:2
  • 出版社:SERSC
  • 摘要:A novel cultural quantum-behaved particle swarm optimization algorithm (CQPSO) is proposed to improve the performance of the quantum-behaved PSO (QPSO). The cultural framework is embedded in the QPSO, and the knowledge stored in the belief space can guide the evolution of the QPSO. 15 high-dimensional and multi-modal functions are employed to investigate the proposed algorithm. Numerical simulation results demonstrate that the CQPSO can indeed outperform the QPSO
  • 关键词:Quantum-behaved; PSO; Cultural Framework; Knowledge
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