A Self-Adaptive Monte Carlo Tree Search Algorithm for Generalized Quay Crane Scheduling Problem
References
- (2019) The quay crane scheduling problem with non-crossing and safety clearance constraints: An exact solution approach. Comput. Oper. Res. 107:189–199.Crossref, Google Scholar
- (2020) Next-generation quay crane scheduling. Transportation Res. Part C Emerging Tech. 114:694–715.Crossref, Google Scholar
- (2017) A Lagrangian relaxation-based heuristic for the multi-ship quay crane scheduling problem with ship stability constraints. Ann. Oper. Res. 248:1–24.Crossref, Google Scholar
- (2016) The quay crane scheduling problem with nonzero crane repositioning time and vessel stability constraints. Comput. Indust. Engrg. 94:230–244.Crossref, Google Scholar
- (2010) A survey of berth allocation and quay crane scheduling problems in container terminals. Eur. J. Oper. Res. 202(3):615–627.Crossref, Google Scholar
- (2015) A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. Eur. J. Oper. Res. 244(3):675–689.Crossref, Google Scholar
- (2012) A survey of Monte Carlo tree search methods. IEEE Trans. Comput. Intelligence AI Games 4(1):1–43.Crossref, Google Scholar
- (2017) The study of the unidirectional quay crane scheduling problem: Complexity and risk-aversion. Eur. J. Oper. Res. 260(2):613–624.Crossref, Google Scholar
- (1989) The crane scheduling problem. Transportation Res. Part B Methodological 23(3):159–175.Crossref, Google Scholar
- (2017) A flexible crane scheduling methodology for container terminals. Flexible Services Manufacturing J. 29(1):64–96.Crossref, Google Scholar
- (2025) Dynamic partitioning of heterogeneously loaded road networks: A two-level regionalization scheme with Monte Carlo tree search. Transportation Res. Part C Emerging Tech. 180:105341.Crossref, Google Scholar
- (2018) A bounded two-level dynamic programming algorithm for quay crane scheduling in container terminals. Comput. Indust. Engrg. 123:303–313.Crossref, Google Scholar
- (2023) Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problems. Comput. Oper. Res. 150:106070.Crossref, Google Scholar
- (2025) A machine learning approach to solve the e-commerce box-sizing problem. Production Oper. Management 34(6):1326–1345.Crossref, Google Scholar
- (2006) Bandit based Monte-Carlo planning. Fürnkranz J, Scheffer T, Spiliopoulou M, eds. Machine Learning: ECML 2006 (Springer, Berlin), 282–293.Google Scholar
- (2024) Decomposition algorithms for the robust unidirectional quay crane scheduling problems. Comput. Oper. Res. 167:106670.Crossref, Google Scholar
- (2007) A m-parallel crane scheduling problem with a non-crossing constraint. Naval Res. Logist. 54(2):115–127.Crossref, Google Scholar
- (2025) An efficient node selection policy for Monte Carlo tree search with neural networks. INFORMS J. Comput. 37(4):785–807.Link, Google Scholar
- (2016) Multi-objective Markov decision processes for data-driven decision support. J. Machine Learn. Res. 17(210):1–28.Google Scholar
- (2021) Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty. J. Scheduling 24:137–174.Crossref, Google Scholar
- (2015) UCT-based approach to capacitated vehicle routing problem. Rutkowski L, Korytkowski M, Scherer R, Tadeusiewicz R, Zadeh LA, Zurada JM, eds. Artificial Intelligence and Soft Computing (Springer International Publishing, Cham, Switzerland), 679–690.Crossref, Google Scholar
- (2011) A unified approach for the evaluation of quay crane scheduling models and algorithms. Comput. Oper. Res. 38(3):683–693.Crossref, Google Scholar
- (2018) Exact methods for the quay crane scheduling problem when tasks are modeled at the single container level. Comput. Oper. Res. 99:218–233.Crossref, Google Scholar
- (2024) Handling uncertainty in the quay crane scheduling problem: A unified distributionally robust decision model. Internat. Trans. Oper. Res. 31(2):721–748.Crossref, Google Scholar
- (2016) Mastering the game of Go with deep neural networks and tree search. Nature 529(7587):484–489.Crossref, Google Scholar
- (2019) A Benders decomposition-based framework for solving quay crane scheduling problems. Eur. J. Oper. Res. 273(2):504–515.Crossref, Google Scholar
- (2024) A decomposition method for the group-based quay crane scheduling problem. INFORMS J. Comput. 36(2):543–570.Link, Google Scholar
- (2021) An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability. Eur. J. Oper. Res. 291(1):271–283.Crossref, Google Scholar
- (2024) A 3D Monte Carlo tree search method for railway alignment optimization. Appl. Soft Comput. 151:111158.Crossref, Google Scholar
- (2017) Quay crane scheduling with draft and trim constraints. Transportation Res. Part E Logist. Transportation Rev. 97:38–68.Crossref, Google Scholar
- (2017) Quay crane scheduling problem with considering tidal impact and fuel consumption. Flexible Services Manufacturing J. 29:345–368.Crossref, Google Scholar
- (2018) The quay crane scheduling problem with stability constraints. IEEE Trans. Automation Sci. Engrg. 15(3):1399–1412.Crossref, Google Scholar

