Urban Ecotourism Evaluation System Based on Ant Colony Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28893-7_12
Reference12 articles.
1. Brandt, T., Bendler, J., Neumann, D.: Social media analytics and value creation in urban smart tourism ecosystems. Inf. Manag. 54(6), 703–713 (2017)
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3. Dahan, F.: An effective multi-agent ant colony optimization algorithm for QoS-aware cloud service composition. IEEE Access 9, 17196–17207 (2021). https://doi.org/10.1109/ACCESS.2021.3052907
4. Dahan, F., El Hindi, K.M., Ghoneim, A., Alsalman, H.: An enhanced ant colony optimization based algorithm to solve QoS-aware web service composition. IEEE Access 9, 34098–34111 (2021)
5. Pohan, M.A.R., Trilaksono, B.R., Santosa, S.P., Rohman, A.S.: Path planning algorithm using the hybridization of the rapidly-exploring random tree and ant colony systems. IEEE Access 9, 153599–153615 (2021). https://doi.org/10.1109/ACCESS.2021.3127635
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