计算机工程 ›› 2010, Vol. 36 ›› Issue (06): 201-203.doi: 10.3969/j.issn.1000-3428.2010.06.068

• 人工智能及识别技术 • 上一篇    下一篇

竞选算法的参数设计与性能研究

贺春华1,张湘伟2,吕文阁2   

  1. (1. 广东工业大学材料与能源学院,广州 510006;2. 广东工业大学机电工程学院,广州 510006)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-20 发布日期:2010-03-20

Parameter Design and Performance Study on Election-Survey Algorithm

HE Chun-hua1, ZHANG Xiang-wei2, LV Wen-ge2   

  1. (1. Faculty of Materials and Energy, Guangdong University of Technology, Guangzhou 510006;2. Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-20 Published:2010-03-20

摘要: 提出采用在线性能评估准则和离线性能评估准则评价竞选算法用于数值优化问题时的性能。通过对标准测试函数的数值优化实验,分析竞选算法的参数对算法在线性能和离线性能的影响,为竞选算法实际应用时的参数选择提供依据。实验结果表明,通过控制参数的改变,可有效改善竞选算法的在线性能和离线性能。

关键词: 竞选算法, 性能评价, 在线性能, 离线性能, 函数优化

Abstract: The on-line performance and off-line performance are provided to evaluate the performances of Election-Survey Algorithm(ESA) used in functions optimization. The relativity between the selected parameters of ESA and the algorithm performance is analyzed by researching the numerical optimal problem of standard test functions. It is expected to observe the changes of the responses by the changing the parameters of ESA so as to obtain some reference basis of parameters selection. Numerical optimal experimental results of standard test functions show that on-line performance and off-line performance are improved by variation of parameters.

Key words: Election-Survey Algorithm(ESA), performance evaluation, on-line performance, off-line performance, function optimization

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