Open Access
Issue |
RAIRO-Oper. Res.
Volume 58, Number 3, May-June 2024
|
|
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Page(s) | 2239 - 2259 | |
DOI | https://doi.org/10.1051/ro/2024084 | |
Published online | 10 June 2024 |
- A. Agrawal, N. Ghune, S. Prakash and M. Ramteke, Evolutionary algorithm hybridized with local search and intelligent seeding for solving multi-objective Euclidian TSP. Expert Syst. Appl. 181 (2021) 115192. [CrossRef] [Google Scholar]
- A. Bassaleh and E. Duman, Java code for “Data for the Turkish Cashier Problem with Time Windows (TCPwTW)” (2023). https://github.com/AhmadBassaleh/TCPwTWData. [Google Scholar]
- E. Duman, A new application of the traveling salesman problem: the turkish cashier problem. Comput. Appl. Math. 21 (2022) 259–268. [Google Scholar]
- E. Duman and I. Or, Precedence constrained TSP arising in printed circuit board assembly. Int. J. Prod. Res. 42 (2004) 67–78. [Google Scholar]
- T. Duman and E. Duman, Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm. Evol. Intell. (2023). [Google Scholar]
- X. Geng, Z. Chen, W. Yang, D. Shi and K. Zhao, Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search. Appl. Soft Comput. 11 (2011) 3680–3689. [CrossRef] [Google Scholar]
- F. Glover, G. Gutin, A. Yeo and A. Zverovich, Construction heuristics for the asymmetric TSP. Eur. J. Oper. Res. 129 (2001) 555–568. [CrossRef] [Google Scholar]
- H. Hashimoto, T. Ibaraki, S. Imahori and M. Yagiura, The vehicle routing problem with flexible time windows and traveling times. Discrete Appl. Math. 154 (2006) 2271–2290. [CrossRef] [MathSciNet] [Google Scholar]
- X. He, Q.K. Pan, L. Gao and J. Neufeld, An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem. Eur. J. Oper. Res. (2023). [Google Scholar]
- M. Junger, G. Reinelt and G. Rinaldi, The traveling salesman problem. Handbooks Oper. Res. Manag. Sci. 7 (1995) 225–330. [CrossRef] [Google Scholar]
- H. Kona, A. Burde and D. Zanwar, A review of traveling salesman problem with time window constraint. IJIRST-Int. J. Innov. Res. Sci. Eng. Technol. 2 (2015). [Google Scholar]
- R. Lahyani, M. Khemakhem and F. Semet, A unified matheuristic for solving multi-constrained traveling salesman problems with profits. EURO J. Comput. Optim. 5 (2017) 393–422. [CrossRef] [MathSciNet] [Google Scholar]
- J. Lenstra and A. Kan, Complexity of vehicle routing and scheduling problems. Networks 11 (1981) 221–227. [CrossRef] [Google Scholar]
- T. Rao, A comparative evaluation of GA and SA TSP in a supply chain network. Mater. Today: Proc. 4 (2017) 2263–2268. [CrossRef] [Google Scholar]
- M. Shahmanzari, D. Aksen and S. Salhi, Formulation and a two-phase matheuristic for the roaming salesman problem: Application to election logistics. Eur. J. Oper. Res. 280 (2020) 656–670. [CrossRef] [Google Scholar]
- X. Shi, Y. Liang, H. Lee, C. Lu and Q. Wang, Particle swarm optimization-based algorithms for TSP and generalized TSP. Inf. Process. Lett. 103 (2007) 169–176. [CrossRef] [Google Scholar]
- R. Silva, E. Venites Filho and A. Alves, A thorough study of the performance of simulated annealing in the traveling salesman problem under correlated and long tailed spatial scenarios. Phys. A: Stat. Mech. Appl. 577 (2021) 126067. [CrossRef] [Google Scholar]
- R. Skinderowicz, Improving Ant Colony Optimization efficiency for solving large TSP instances. Appl. Soft Comput. 120 (2022) 108653. [CrossRef] [Google Scholar]
- M. Solomon and J. Desrosiers, Survey Paper–Time Window Constrained Routing and Scheduling Problems. Transp. Sci. 22 (1988) 1–13. [CrossRef] [Google Scholar]
- T. Srinivas Rao, A simulated annealing approach to solve a multi traveling salesman problem in a FMCG company. Mater. Today: Proc. 46 (2021) 4971–4974. [CrossRef] [Google Scholar]
- A. Subramanian and M. Battarra, An iterated local search algorithm for the travelling salesman problem with pickups and deliveries. J. Oper. Res. Soc. 64 (2013) 402–409. [CrossRef] [Google Scholar]
- İ Tarhan and C. Oğuz, A matheuristic for the generalized order acceptance and scheduling problem. Eur. J. Oper. Res. 299 (2022) 87–103. [CrossRef] [Google Scholar]
- V. Tongur and E. Ülker, The analysis of migrating birds optimization algorithm with neighborhood operator on traveling salesman problem. In: Intelligent and Evolutionary Systems: The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings (2016) 227–237. [Google Scholar]
- S. Tonyali and A. Alkaya, Application of recently proposed metaheuristics to the sequence dependent TSP. In: Advanced Computational Methods for Knowledge Engineering: Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications-ICCSAMA 2015 (2015) 83–94. [Google Scholar]
- M. Uwaisy, Z. Baizal and M. Reditya, Recommendation of scheduling tourism routes using tabu search method (case study bandung). Procedia Comput. Sci. 157 (2019) 150–159. [CrossRef] [Google Scholar]
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