Abstract
In this paper, we consider the orienteering problem with hotel selection (OPHS) and introduce an additional cap on the available budget, frequently experienced in practice but neglected in the literature. We present a heuristic solution approach for the modified problem configuration, which comprises the construction of initial solutions and the improvement of those solutions using a multi-start VNS heuristic with adaptive adjustment. Within computational studies on adjusted benchmark data, we evaluate the impact of the considered budget constraint by comparing the results of the original OPHS with the results of its budget constraint extension. Further, we show the efficiency of the proposed metaheuristic.
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References
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.
Divsalar, A., Vansteenwegen, P., Sörensen, K., & Cattrysse, D. (2014). A memetic algorithm for the orienteering problem with hotel selection. European Journal of Operational Research, 237(1), 29–49.
Sohrabi, S., Ziarati, K., & Keshtkaran, M. (2020). A greedy randomized adaptive search procedure for the orienteering problem with hotel selection. European Journal of Operational Research, 283(2), 426–440.
Sohrabi, S., Ziarati, K., & Keshtkaran, M. (2021). ACS-OPHS: Ant colony system for the orienteering problem with hotel selection. EURO Journal on Transportation and Logistics, 10(100), 036.
Divsalar, A., Vansteenwegen, P., Chitsaz, M., Sörensen, K., & Cattrysse, D. (2014). Personalized multi-day trips to touristic regions: A hybrid GA-VND approach. In European Conference on Evolutionary Computation in Combinatorial Optimization (pp. 194–205). Springer.
Vansteenwegen, P., & Gunawan, A. (2019). Orienteering problems. Springer.
Ben-Said, A., El-Hajj, R., & Moukrim, A. (2019). A variable space search heuristic for the capacitated team orienteering problem. Journal of Heuristics, 25(2), 273–303.
Lion, D., Chiu, A., Stumm, M., & Yuan, D. (2022). Investigating managed language runtime performance: Why JavaScript and Python are 8x and 29x slower than C++, yet Java and Go can be faster? In 2022 USENIX Annual Technical Conference (USENIX ATC 22) (pp. 835–852).
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Päprer, P., Zipfel, B. (2023). Low Budget Traveling: The Orienteering Problem with Hotel Selection and Budget Constraint. In: Grothe, O., Nickel, S., Rebennack, S., Stein, O. (eds) Operations Research Proceedings 2022. OR 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-24907-5_48
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DOI: https://doi.org/10.1007/978-3-031-24907-5_48
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