An improved ant colony optimization algorithm based on context for tourism route planning

To solve the problem of one-sided pursuit of the shortest distance but ignoring the tourist experience in the process of tourism route planning, an improved ant colony optimization algorithm is proposed for tourism route planning. Contextual information of scenic spots significantly effect people’s...

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Detalles Bibliográficos
Autores principales: Liang, Shengbin, Jiao, Tongtong, Du, Wencai, Qu, Shenming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445481/
https://www.ncbi.nlm.nih.gov/pubmed/34529729
http://dx.doi.org/10.1371/journal.pone.0257317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445481/
https://www.ncbi.nlm.nih.gov/pubmed/34529729
http://dx.doi.org/10.1371/journal.pone.0257317

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