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  • 标题:The Comparative Analysis Of Two Neural Networks
  • 本地全文:下载
  • 作者:Sanja Bauk ; Nataša Kovač
  • 期刊名称:Montenegrin Journal of Economics
  • 印刷版ISSN:1800-5845
  • 电子版ISSN:1800-6698
  • 出版年度:2006
  • 卷号:2
  • 期号:3
  • 出版社:Economic Laboratory for Transition Research Podgorica
  • 摘要:The paper deals with a comparison between two different meth-ods in generating sub-optimal solutions to the Hopfield-Tank TSP (traveling salesman problem) neural algorithm. Namely, the Hopfield-Tank TSP neural algorithm has been applied in the paper to the linear ship's route, that is cycle voyage modeling, which means here finding the optimal visiting order of a given set of ports in such way as to minimize the total sailing distance and implicitly total linear ship's traveling costs. The methods being implemented here into Hopfield-Tank TSP neural structure and computationally compared are: the brute force method and the fast insertion heuristic
  • 关键词:TSP (traveling salesman problem); Hopfield-Tank neural network; ;brute force method; fast insertion heuristic; linear ship; traveling costs
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