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  • 标题:NOVEL ACO BASED ON ENTROPY AND ITS APPLICATION IN ANALYSIS OF STRUCTURAL RELIABILITY
  • 本地全文:下载
  • 作者:YANCANG LI ; CAHENGUANG BAN ; SHUJING ZHOU
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:45
  • 期号:1
  • 页码:154-159
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In order to solve the premature convergence problem of the basic Ant Colony Optimization algorithm and find an effective method for the calculation of system reliability index of the structure, a promising modification with changing index was proposed. The main idea of the modification is to measure the uncertainty of the path selection and evolutional by using the average information entropy self-adaptively. Simulation study and performance comparison with other algorithms on Traveling Salesman Problem show that the improved algorithm can converge at the global optimum with a high probability. Finally, the algorithm was employed to the analysis of reliability of a structure, results shows that the work provides a new approach for solving the combinatorial optimization problems, especially the analysis of structural reliability.
  • 关键词:ACO; Modification; Entropy; TSP; Structural Reliability
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