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A model simulation for trip planning recommendation system in Tourism

Abstract : This research work aims to investigate the several variants of trip planning problems and develop efficient technique to solve that optimization problem. In order to model this kind of problem the Orienteering Problem became the promising starting point. Therefore, this basic model is extended to several variants in order to enable additional tourist functionalities. Based on the algorithm that is successfully applied to the certain version of problem, we proposed the Iterated Local Search Algorithm to tackle the Time Dependent Multi Constraint Team Orienteering Problem with Time Windows. The simple MCTOPTW takes into account money budget limitation as multiple constraints in addition to time window and associated satisfaction score while the TDMCTOPTW considers the integration of urban public transportation network into the MCTOPTW.
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Submitted on : Wednesday, January 10, 2018 - 3:14:30 PM
Last modification on : Thursday, November 19, 2020 - 1:01:54 PM
Long-term archiving on: : Wednesday, May 23, 2018 - 4:45:35 PM


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  • HAL Id : tel-01680284, version 2



Uyanga Sukhbaatar. A model simulation for trip planning recommendation system in Tourism. Mobile Computing. Université Grenoble Alpes, 2016. English. ⟨NNT : 2016GREAM040⟩. ⟨tel-01680284v2⟩



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