Tourism Product Design and Development based on Heuristic Algorithm

被引：0
|
作者：
Ye Hong [1 ]
Qu Xiaochu [1 ]
机构：
[1] Hunan Int Business Vocat Coll, Changsha 410006, Hunan, Peoples R China
来源：
PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年
关键词：
tourism product design; heuristic algorithm; ant colony algorithm; ANT COLONY OPTIMIZATION;
D O I：
10.1109/ICICTA.2015.268
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Tourism product traffic route optimization directly affects income and development of the enterprise. In order to overcome the disadvantage that ant colony algorithm is easy to fall into local optimal solution, the heuristic factor and information volatilization coefficient adopts the principle of dynamic setting to increase the diversity of the path selection. Then the improved heuristic algorithm is used in tourism product route optimization design. The improved ant colony algorithm is used in tourism transportation route optimization design, which reduces difficulty in solving complex optimization problem and the improved ant colony algorithm has better result.
引用
收藏
页码：1067 / 1070
页数：4
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