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文章基本信息

  • 标题:The Combination of Extension of Ant Colony Algorithm and Other Intelligent Algorithms
  • 本地全文:下载
  • 作者:Ma Li ; Li Qianting ; Ma Meiqiong
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:12
  • 页码:143-152
  • DOI:10.14257/ijhit.2015.8.12.09
  • 出版社:SERSC
  • 摘要:The extension of ant colony algorithm was proposed by Dorigo, the founder of ant colony algorithm, which is the latest ant colony algorithm for solving a continuous space optimization problem. Considering the blindness of man-made choice of initial solution and initial parameters of the algorithm, and according to the algorithm converging slowly and easily falling into local optimum, this paper has provided improvement strategy for this optimization. It has introduced quantum computing and genetic algorithm, chaos optimization to carry out combination and comparison, and it has carried out improvement on the weight internally solved by memory in the algorithm. The effectiveness of various combined algorithms was determined through the optimization of numerous multi-dimensional continuous functions.
  • 关键词:Extension of ant colony optimization; Optimization of continuous space; ; Genetic algorithm; chaos
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