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Generating Travel Itinerary Using Ant Collony Optimization

ZK. Abdurahman Baizal, Aniq A Rahmawati, Kemas M Lhaksmana, Moh Z Mubarok, M. Qadrian
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Liu, Xiao-jun et al [10] , also uses ant-colony for planning-process optimization of a machine so that less cost is needed.  ...  Conclusion and Future Work Based on experiments, we notice that ant-collony is suitable for the generation of tourist route itinerary, because the ant colony checks every node whether fulfills the constraint  ... 
doi:10.12928/telkomnika.v16i3.7268 fatcat:4az23b7ngfg4bexhc6dnkf4c7e

Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism

Landy Rajaonarivo, André Fonteles, Christian Sallaberry, Marie-Noëlle Bessagnet, Philippe Roose, Patrick Etcheverry, Christophe Marquesuzaà, Annig Le Parc Lacayrelle, Cécile Cayèré, Quentin Coudert
2019 ISPRS International Journal of Geo-Information  
open-source algorithm and framework capable of recommending a sequence of cultural heritage points of interests (POIs) to be visited by tourists.  ...  The cultural heritage of a region, be it a highly visited one or not, is a formidable asset for the promotion of its tourism.  ...  According to the "ant colony" approach incorporated in our algorithm, a user is represented by an ant.  ... 
doi:10.3390/ijgi8050230 fatcat:xg75hw2jcjbodnobogcrpfj7kq

Information Management for Travelers: Towards Better Route and Leisure Suggestion

Evgeny Pyshkin, Boris Skripal, Alexander Chisler, Alexander Baratynskiy
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
Much effort is required for supporting personalized itineraries construction in such a way which would leverage existing cultural and technological user experience.  ...  In sum, we make an effort to address a number of complex issues in the area of developing models, interfaces and algorithms required by modern travel services considered as an essential application of  ...  A traditional ant colony algorithm is based on modeling the behavior of the ants dropping pheromones while deciding where to go depending on the intensiveness of pheromone trails.  ... 
doi:10.15439/2016f224 dblp:conf/fedcsis/PyshkinSCB16 fatcat:yxzryvmtvvfwzjwpe2k3qfxe44

Personalized Trip Planning Considering User Preferences and Environmental Variables with Uncertainty

Mingu KIM, Seungwoo HONG, Il Hong SUH
2019 IEICE transactions on information and systems  
Specifically, we propose a probabilistic itinerary evaluation model based on a hybrid temporal Bayesian network that determines suitable itineraries considering preferences, constraints, and uncertain  ...  Then, we improve candidate itineraries based on the evaluation results of previous itineraries.  ...  Then, the proposed approach generated trip plans based on the extracted questions.  ... 
doi:10.1587/transinf.2019edp7052 fatcat:j54a4jcys5dqjgzgtkezia37hm

An Adaptive Genetic Algorithm for Personalized Itinerary Planning

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
In this paper, we propose an adaptive genetic algorithm for personalized itinerary planning for travelers to plan their itineraries better.  ...  Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs) in a city, so that planning an itinerary  ...  Step 4: Adaptive Genetic Algorithm for Itinerary Recommendation We recommend a travel itinerary to the user based on an adaptive genetic algorithm.  ... 
doi:10.1109/access.2020.2990916 fatcat:ugkebp7o65f4hh2s6bjnxo6cfu

Self-Driving Tour Travel Route Planning Model Construction Using Recurrent Neural Network

Nan Wang, Xin Ning
2022 Wireless Communications and Mobile Computing  
External factors such as trip time, cost, travel date, and transport mode all have an impact on route planning.  ...  In this paper, a self-driving journey route planning model is built using a recurrent neural network model.  ...  A self-driving tourist must plan a trip based on the list of 5A scenic spots published by my country's Tourism Administration.  ... 
doi:10.1155/2022/5162828 fatcat:sqibijlc2rfmzjecqxciovcjdq

Optimization of the tourist route by solving the problem of a salesman

Vladimir Shinkarenko, Sergii Nezdoyminov, Svetlana Galasyuk, Larysa Shynkarenko
2020 Journal of Geology Geography and Geoecology  
Transportation expenses are an important part of a bus tour cost, and their minimization is a required condition for route development and planning.  ...  The development of an optimal model for the transportation of tourists on the highways and the reduction of their costs for consumption of transport services will contribute to the development of tourist  ...  The ant colony optimization algorithm is based on the following assumptions: the number of graph vertices is equal to the number of ants; each ant begins its path from its graph vertices (its city); to  ... 
doi:10.15421/112052 fatcat:zinpvfailvdbhie6themvkp6bm

Improved On-Demand Travel Route Planning Model with Interest Fields

Limin Yan, Qiangyi Li
2022 Computational Intelligence and Neuroscience  
By iterating the actual data to obtain the iterative values of different tourist route motivations and the sequential guide map of attractions based on tourist interests, the optimal and suboptimal routes  ...  The extracted routes of interest sites are planned, and a motivated iterative value output model is established.  ...  Acknowledgments e research is supported by: Research on the Mechanism and Path of the Organic Integration of Culture and Tourism in Henan province (NO. 222400410452).  ... 
doi:10.1155/2022/6442441 fatcat:4ad7dcetkzdbdmpfm3uqd7bx4q

Orienteering Problem with Functional Profits for multi-source dynamic path construction

Ksenia D. Mukhina, Alexander A. Visheratin, Denis Nasonov, Vincent Yu
2019 PLoS ONE  
for OP solving-Ant Colony Optimization and Recursive Greedy Algorithm.  ...  Experiments were conducted on a large multi-source dataset for Saint Petersburg, Russia, containing data from Instagram, TripAdvisor, Foursquare and official touristic website.  ...  Algorithms Ant Colony Optimization.  ... 
doi:10.1371/journal.pone.0213777 pmid:30939132 pmcid:PMC6445411 fatcat:kr4fyipyrveznf6r67rugbvkhu

A Tabu Search approach for Multi Constrained Team Orienteering Problem and its application in touristic trip planning

Kadri Sylejmani, Jiirgen Dorn, Nysret Musliu
2012 2012 12th International Conference on Hybrid Intelligent Systems (HIS)  
The touristic trip planning problem can be considered as a Multi Constrained Team Orienteering Problem with Time Windows (MCTOPTW).  ...  The maximum number of POIs of certain types that can be included into the itinerary is limited. A tourist can visit the POIs during their respective time windows.  ...  ACKNOWLEDGMENT The work in this paper is supported by the Ministry of Education, Science and Technology of the Republic of Kosova under research grant awarded for the project "Tourist Tour Planning and  ... 
doi:10.1109/his.2012.6421351 dblp:conf/his/SylejmaniDM12 fatcat:tbbweynrdzhbnh3l5fh3vb4nqe

Solving Orienteering with Category Constraints Using Prioritized Search [article]

Paolo Bolzoni, Sven Helmer
2017 arXiv   pre-print
We develop an approach for solving rooted orienteering problems with category constraints as found in tourist trip planning and logistics.  ...  It is based on expanding partial solutions in a systematic way, prioritizing promising ones, which reduces the search space we have to traverse during the search.  ...  Meta-heuristics, such as genetic algorithms [18] , neural networks [20] , and ant colony optimization [10] have also been tested.  ... 
arXiv:1702.04304v1 fatcat:3nf7doh5dzeabgkijoflge4wqy

Multi-Objective Fuzzy Tourist Trip Design Problem with Heterogeneous Preferences and Sustainable Itineraries

José Ruiz-Meza, Julio Brito, Jairo R. Montoya-Torres
2021 Sustainability  
Tourist itinerary planning is a complex process that plays a crucial role in tourist management. This type of problem, called the tourist trip design problem, aims to build personalised itineraries.  ...  Therefore, it is necessary to develop tourism management based on sustainable tourism, mainly in the transport process.  ...  Zheng and Liao [29] develop an algorithm called non-dominated classification algorithm (NSACDE) that hybridises ant colony optimization (ACO) and DEA to solve a bi-objective TTDP model with heterogeneous  ... 
doi:10.3390/su13179771 fatcat:u4xsrbhytjf4vjggle7ssp2uwy

Efficient itinerary planning with category constraints

Paolo Bolzoni, Sven Helmer, Kevin Wellenzohn, Johann Gamper, Periklis Andritsos
2014 Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '14  
We develop a group of efficient algorithms based on clustering with guaranteed theoretical bounds.  ...  We develop a group of e cient algorithms based on clustering with guaranteed theoretical bounds.  ...  A recent survey on algorithmic approaches for tourist itinerary planning has identified crucial topics that have been mostly neglected so far [4] .  ... 
doi:10.1145/2666310.2666411 dblp:conf/gis/BolzoniHWGA14 fatcat:d6snf4uvtnes3ckcvng3hqwrva

Simulated annealing approach for solving at Time Dependent Orienteering Problem

2016 Communications Faculty Of Science University of Ankara  
tour plan for Istanbul.  ...  The problem is solved with a simulated annealing approach which is a heuristic method and provides a tour route with a limited time while considering the traffic in the city.  ...  Conclusion In this paper, a metaheuristic algorithm based on SA concept applied to solve a TDOP and plan a tour solution for visitors. The algorithm was applied and tested in a real life case.  ... 
doi:10.1501/commua1-2_0000000091 fatcat:hg374bpd5rgb5lvm5egmtvjmum

Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
for reacting to the needs of tourists.  ...  This work aims not only to present a systematic review and mapping of the linked open data in location-based recommendation system on tourism domain, but also to provide an overview of the current research  ...  Finally, they used the spatial and semantic to recommend a route by an ant colony optimization algorithm.  ... 
doi:10.1109/access.2020.2967120 fatcat:yqwkrko6mzfw5e5kckfaxbxzju
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