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  • 标题:OPTIMUM DESIGN FOR TOURISM LINE BASED ONIMPROVED ANT COLONY SYSTEM ALGORITHM
  • 本地全文:下载
  • 作者:Xu Mingle ; You Xiaoming
  • 期刊名称:International Journal of Managing Value and Supply Chains
  • 印刷版ISSN:2230-7966
  • 电子版ISSN:0976-979X
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:1-8
  • DOI:10.5121/ijmvsc.2016.7201
  • 出版社:AIRCC
  • 摘要:This paper proposed an available measure to find the shortest line of the tourism. Subjecting a lot ofconditions, we aim at selecting to the best tourism line which will spend the less time in an economic way.To the practice travel problem, using K-means algorithm and ant colony optimization algorithm (ACO),we make a framework to solve the multi constraint combination optimization problem and design a realschedule to every feasible tourism line. In the end, we analyze the result and it is available to a traveler.
  • 关键词:Ant colony optimization; K-means; path planning of travelling
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