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Tourism route optimization based on improved knowledge ant colony algorithm

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成果类型:
期刊论文
作者:
Li, Sidi;Luo, Tianyu;Wang, Ling*;Xing, Lining;Ren, Teng
通讯作者:
Wang, Ling;Xing, LN
作者机构:
[Li, Sidi] Cent South Univ Forestry & Technol, Sch Foreign Languages, Changsha 410004, Peoples R China.
[Luo, Tianyu; Xing, Lining; Wang, Ling; Ren, Teng; Xing, LN] Cent South Univ Forestry & Technol, Coll Logist & Transportat, Changsha 410004, Peoples R China.
通讯机构:
[Wang, L; Xing, LN ] C
Cent South Univ Forestry & Technol, Coll Logist & Transportat, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Tourism route planning;Tourist satisfaction;Ant colony algorithm;Bacterial foraging algorithm;Knowledge models
期刊:
COMPLEX & INTELLIGENT SYSTEMS
ISSN:
2199-4536
年:
2022
卷:
8
期:
5
页码:
3973-3988
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71690233, 61773120]; Project of Hunan Social Science Achievement Evaluation Committee in 2018 [XSP20YBC127]; Youth Scientific Research Fund Project of Central South University of Forestry and Technology [2018QY003]; Hunan Key Laboratory of smart logistics technology [2019TP1015]; Innovation Team of Guangdong Provincial Department of Education [2018KCXTD031]; State Key Laboratory of Digital Manufacturing Equipment and Technology [DMETKF2020030]
机构署名:
本校为第一且通讯机构
院系归属:
外国语学院
摘要:
With the rapid development of tourism in the economy, popular demand for tourism also increases. Unreasonable distribution arises a series of problems such as reduction of tourist satisfaction and decrease of the income in tourist attractions. Based on consideration of tourism route planning, a mathematical model which takes the maximization of the overall satisfaction of all tourist groups as the objective function is established by taking the age and preferences of tourists, the upper limits of the tourist carrying capacity in various tourism routes, etc. as constraints. It aims to maximize ...

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