How to cite this paper
Işık, E., Ayyıldız, E & Taşkın, A. (2024). A constraint programming approach for multi-objective tourist trip design problem with mandatory visits: A case study for İzmir Turkey.Journal of Project Management, 9(1), 61-72.
Refrences
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Divsalar, A., Vansteenwegen, P., & Cattrysse, D. (2013). A variable neighborhood search method for the orienteering problem with hotel selection. International Journal of Production Economics, 145(1), 150–160. https://doi.org/10.1016/j.ijpe.2013.01.010
Dzombo, G. K., Kilika, J. M., & Maingi, J. (2018). The Mediating Effect of Financial Inclusion on the Relationship be-tween Branchless Banking Strategy and Performance of Commercial Banks in an Emerging market Context: The Case of Kenya. International Journal of Economics and Finance, 10(7), 161. https://doi.org/10.5539/ijef.v10n7p161
Gavalas, D., Konstantopoulos, C., Mastakas, K., & Pantziou, G. (2014). A survey on algorithmic approaches for solving tourist trip design problems. Journal of Heuristics, 20(3), 291–328. https://doi.org/10.1007/s10732-014-9242-5
Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G., & Vathis, N. (2015). Heuristics for the time dependent team orienteering problem: Application to tourist route planning. Computers and Operations Research, 62, 36–50. https://doi.org/10.1016/j.cor.2015.03.016
Gedik, R., Kirac, E., Bennet Milburn, A., & Rainwater, C. (2017). A constraint programming approach for the team ori-enteering problem with time windows. Computers and Industrial Engineering, 107, 178–195. https://doi.org/10.1016/j.cie.2017.03.017
Golden, B., Levy, L., & Vohra, R. (1987). The orienteering problem. Naval Research Logistics, 34, 307–318.
Gunawan, A., Lau, H. C., & Vansteenwegen, P. (2016). Orienteering Problem: A survey of recent variants, solution ap-proaches and applications. European Journal of Operational Research, 255(2), 315–332. https://doi.org/10.1016/j.ejor.2016.04.059
Hapsari, I., Surjandari, I., & Komarudin, K. (2019). Solving multi-objective team orienteering problem with time win-dows using adjustment iterated local search. Journal of Industrial Engineering International, 15(4), 679–693. https://doi.org/10.1007/s40092-019-0315-9
Hu, W., Fathi, M., & Pardalos, P. M. (2018). A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time windows. Applied Soft Compu-ting Journal, 73, 383–393. https://doi.org/10.1016/j.asoc.2018.08.026
IBM. (2014). OPL Language User's Manual (Version 12). IBM Corporation.
Izmir Metropolitan Municipality (IMM). (2021). A Day in Izmir. Retrieved 26 February 2021, from https://www.izmir.bel.tr/en/a-day-in-izmir/517/3181
Karabulut, K., & Tasgetiren, M. F. (2020). An evolution strategy approach to the team orienteering problem with time windows. Computers and Industrial Engineering, 139(October 2019), 106109. https://doi.org/10.1016/j.cie.2019.106109
Ke, W. (2013). A fitness model for scholarly impact analysis. Scientometrics, 94(3), 981–998. https://doi.org/10.1007/s11192-012-0787-5
Lin, S. W., & Yu, V. F. (2017). Solving the team orienteering problem with time windows and mandatory visits by mul-ti-start simulated annealing. Computers and Industrial Engineering, 114(October), 195–205. https://doi.org/10.1016/j.cie.2017.10.020
Lu, Y., Benlic, U., & Wu, Q. (2018). A memetic algorithm for the Orienteering Problem with Mandatory Visits and Ex-clusionary Constraints. European Journal of Operational Research, 268(1), 54–69. https://doi.org/10.1016/j.ejor.2018.01.019
Sohrabi, S., Ziarati, K., & Keshtkaran, M. (2020). A Greedy Randomized Adaptive Search Procedure for the Orienteer-ing Problem with Hotel Selection. European Journal of Operational Research, 283(2), 426–440. https://doi.org/10.1016/j.ejor.2019.11.010
Tae, H., & Kim, B. I. (2015). A branch-and-price approach for the team orienteering problem with time windows. Inter-national Journal of Industrial Engineering : Theory Applications and Practice, 22(2), 243–251.
Vansteenwegen, P., Souffriau, W., & Oudheusden, D. Van. (2011). The orienteering problem: A survey. European Jour-nal of Operational Research, 209(1), 1–10. https://doi.org/10.1016/j.ejor.2010.03.045
Verbeeck, C., Vansteenwegen, P., & Aghezzaf, E. H. (2016). Solving the stochastic time-dependent orienteering prob-lem with time windows. European Journal of Operational Research, 255(3), 699–718. https://doi.org/10.1016/j.ejor.2016.05.031
Verbeeck, Cédric, Vansteenwegen, P., & Aghezzaf, E. H. (2017). The time-dependent orienteering problem with time windows: a fast ant colony system. Annals of Operations Research, 254(1–2), 481–505. https://doi.org/10.1007/s10479-017-2409-3
Wisittipanich, W., & Boonya, C. (2020). Multi-objective Tourist Trip Design Problem in Chiang Mai City. IOP Confer-ence Series: Materials Science and Engineering, 895(1). https://doi.org/10.1088/1757-899X/895/1/012014
Yu, V. F., Jewpanya, P., Lin, S. W., & Redi, A. A. N. P. (2019). Team orienteering problem with time windows and time-dependent scores. Computers and Industrial Engineering, 127(August 2018), 213–224. https://doi.org/10.1016/j.cie.2018.11.044
Yu, V. F., Redi, A. A. N. P., Jewpanya, P., & Gunawan, A. (2019). Selective discrete particle swarm optimization for the team orienteering problem with time windows and partial scores. Computers and Industrial Engineering, 138(September), 106084. https://doi.org/10.1016/j.cie.2019.106084
Divsalar, A., Vansteenwegen, P., & Cattrysse, D. (2013). A variable neighborhood search method for the orienteering problem with hotel selection. International Journal of Production Economics, 145(1), 150–160. https://doi.org/10.1016/j.ijpe.2013.01.010
Dzombo, G. K., Kilika, J. M., & Maingi, J. (2018). The Mediating Effect of Financial Inclusion on the Relationship be-tween Branchless Banking Strategy and Performance of Commercial Banks in an Emerging market Context: The Case of Kenya. International Journal of Economics and Finance, 10(7), 161. https://doi.org/10.5539/ijef.v10n7p161
Gavalas, D., Konstantopoulos, C., Mastakas, K., & Pantziou, G. (2014). A survey on algorithmic approaches for solving tourist trip design problems. Journal of Heuristics, 20(3), 291–328. https://doi.org/10.1007/s10732-014-9242-5
Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G., & Vathis, N. (2015). Heuristics for the time dependent team orienteering problem: Application to tourist route planning. Computers and Operations Research, 62, 36–50. https://doi.org/10.1016/j.cor.2015.03.016
Gedik, R., Kirac, E., Bennet Milburn, A., & Rainwater, C. (2017). A constraint programming approach for the team ori-enteering problem with time windows. Computers and Industrial Engineering, 107, 178–195. https://doi.org/10.1016/j.cie.2017.03.017
Golden, B., Levy, L., & Vohra, R. (1987). The orienteering problem. Naval Research Logistics, 34, 307–318.
Gunawan, A., Lau, H. C., & Vansteenwegen, P. (2016). Orienteering Problem: A survey of recent variants, solution ap-proaches and applications. European Journal of Operational Research, 255(2), 315–332. https://doi.org/10.1016/j.ejor.2016.04.059
Hapsari, I., Surjandari, I., & Komarudin, K. (2019). Solving multi-objective team orienteering problem with time win-dows using adjustment iterated local search. Journal of Industrial Engineering International, 15(4), 679–693. https://doi.org/10.1007/s40092-019-0315-9
Hu, W., Fathi, M., & Pardalos, P. M. (2018). A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time windows. Applied Soft Compu-ting Journal, 73, 383–393. https://doi.org/10.1016/j.asoc.2018.08.026
IBM. (2014). OPL Language User's Manual (Version 12). IBM Corporation.
Izmir Metropolitan Municipality (IMM). (2021). A Day in Izmir. Retrieved 26 February 2021, from https://www.izmir.bel.tr/en/a-day-in-izmir/517/3181
Karabulut, K., & Tasgetiren, M. F. (2020). An evolution strategy approach to the team orienteering problem with time windows. Computers and Industrial Engineering, 139(October 2019), 106109. https://doi.org/10.1016/j.cie.2019.106109
Ke, W. (2013). A fitness model for scholarly impact analysis. Scientometrics, 94(3), 981–998. https://doi.org/10.1007/s11192-012-0787-5
Lin, S. W., & Yu, V. F. (2017). Solving the team orienteering problem with time windows and mandatory visits by mul-ti-start simulated annealing. Computers and Industrial Engineering, 114(October), 195–205. https://doi.org/10.1016/j.cie.2017.10.020
Lu, Y., Benlic, U., & Wu, Q. (2018). A memetic algorithm for the Orienteering Problem with Mandatory Visits and Ex-clusionary Constraints. European Journal of Operational Research, 268(1), 54–69. https://doi.org/10.1016/j.ejor.2018.01.019
Sohrabi, S., Ziarati, K., & Keshtkaran, M. (2020). A Greedy Randomized Adaptive Search Procedure for the Orienteer-ing Problem with Hotel Selection. European Journal of Operational Research, 283(2), 426–440. https://doi.org/10.1016/j.ejor.2019.11.010
Tae, H., & Kim, B. I. (2015). A branch-and-price approach for the team orienteering problem with time windows. Inter-national Journal of Industrial Engineering : Theory Applications and Practice, 22(2), 243–251.
Vansteenwegen, P., Souffriau, W., & Oudheusden, D. Van. (2011). The orienteering problem: A survey. European Jour-nal of Operational Research, 209(1), 1–10. https://doi.org/10.1016/j.ejor.2010.03.045
Verbeeck, C., Vansteenwegen, P., & Aghezzaf, E. H. (2016). Solving the stochastic time-dependent orienteering prob-lem with time windows. European Journal of Operational Research, 255(3), 699–718. https://doi.org/10.1016/j.ejor.2016.05.031
Verbeeck, Cédric, Vansteenwegen, P., & Aghezzaf, E. H. (2017). The time-dependent orienteering problem with time windows: a fast ant colony system. Annals of Operations Research, 254(1–2), 481–505. https://doi.org/10.1007/s10479-017-2409-3
Wisittipanich, W., & Boonya, C. (2020). Multi-objective Tourist Trip Design Problem in Chiang Mai City. IOP Confer-ence Series: Materials Science and Engineering, 895(1). https://doi.org/10.1088/1757-899X/895/1/012014
Yu, V. F., Jewpanya, P., Lin, S. W., & Redi, A. A. N. P. (2019). Team orienteering problem with time windows and time-dependent scores. Computers and Industrial Engineering, 127(August 2018), 213–224. https://doi.org/10.1016/j.cie.2018.11.044
Yu, V. F., Redi, A. A. N. P., Jewpanya, P., & Gunawan, A. (2019). Selective discrete particle swarm optimization for the team orienteering problem with time windows and partial scores. Computers and Industrial Engineering, 138(September), 106084. https://doi.org/10.1016/j.cie.2019.106084