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  • 标题:A Quantum Behaved Gravitational Search Algorithm
  • 本地全文:下载
  • 作者:Mohadeseh Soleimanpour Moghadam ; Hossein Nezamabadi-Pour ; Malihe M. Farsangi
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2012
  • 卷号:4
  • 期号:6
  • 页码:390-395
  • DOI:10.4236/iim.2012.46043
  • 出版社:Scientific Research Publishing
  • 摘要:Gravitational search algorithm (GSA) is a recent introduced global convergence guaranteed algorithm. In this paper, a quantum-behaved gravitational search algorithm, namely called as QGSA, is proposed. In the proposed QGSA each individual mass moves in a Delta potential well in feasible search space with a center which is weighted average of all kbests. The QGSA is tested on several benchmark functions and compared with the GSA. It is shown that the quantum-behaved gravitational search algorithm has faster convergence speed with good precision, and thus generating a better performance.
  • 关键词:GSA; Quantum Mechanics; kbest; QGSA
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