Generating Travel Itinerary Using Ant Collony Optimization

ZK. Abdurahman Baizal, Aniq A Rahmawati, Kemas M Lhaksmana, Moh Z Mubarok, M. Qadrian


Travelling is one of the activities needed by everyone to overcome weariness. The number of information about the tourism destination on the internet sometimes does not provide easiness for oncoming tourists. This paper proposes a system capable of making travel itinerary, for tourists who want to visit an area within a few days. For generating itinerary, the system considers several criterias (Multi-criteria-based), which include the popularity level of tourist attractions to visit, tourist visits that minimize budgets or tourist visits with as many destinations as possible. To handle multi criteria-based itinerary, we use the concept of multi attribute utility theory (MAUT). The running time of multi criteria-based itinerary is not significantly different from time-based itinerary. In addition, the number of tourist attractions in the itinerary is more than time-based itinerary, because the combination of solutions from each ant becomes more diverse.


travel itinerary; ant colony; e-tourism; travelling salesman problem; travel scheduling; travel recommender system;

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
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