Integrated intelligent techniques for remarshaling and berthing in maritime terminals

Advanced Engineering Informatics

Volumn 25, Issue 3, 2011, Pages 435-451

  Salido, Miguel A ^a   Rodriguez Molins, Mario ^a   Barber, Federico ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Berth allocation problem; Container stacking problem; Heuristics; Optimization; Planning; Remarshaling

Indexed keywords

BERTH ALLOCATION PROBLEM; CARGO CONTAINERS; COMBINATORIAL PROBLEM; CONTAINER TERMINAL; HEURISTICS; INTELLIGENT TECHNIQUES; LAND VEHICLES; MARITIME CONTAINER TERMINAL; MINIMIZE DISRUPTION; OPTIMAL SOLUTIONS; OPTIMIZED ALLOCATION; PLANNING TECHNIQUES; REMARSHALING; TERMINAL OPERATORS; WHOLE PROCESS;

ALGORITHMS; AUTOMOBILES; MATHEMATICAL OPERATORS; OPTIMIZATION; PORT TERMINALS; RAILROAD YARDS AND TERMINALS; SERVICE VESSELS; TRANSFER CASES (VEHICLES);

PROBLEM SOLVING;

EID: 79960188475     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2010.10.001     Document Type: Article

References (29)

1. C. Bierwirth, and F. Meisel A survey of berth allocation and quay crane scheduling problems in container terminals European Journal of Operational Research 202 3 2010 615 627
2. Shih-Huang Chen, and Jun-Nan Chen Forecasting container throughputs at ports using genetic programming Expert Systems with Applications 37 3 2010 2054 2058
3. C.Y. Cheong, K.C. Tan, D.K. Liu, Solving the berth allocation problem with service priority via multi-objective optimization. In: Computational Intelligence in Scheduling, 2009. CI-Sched '09. IEEE Symposium on. (2009) pp. 95-102.
4. Tzung-Nan Chuang, Chia-Tzu Lin, Jung-Yuan Kung, and Ming-Da Lin Planning the route of container ships: a fuzzy genetic approach Expert Systems with Applications 37 4 2010 2948 2956
5. J.F. Cordeau, G. Laporte, P. Legato, and L. Moccia Models and tabu search heuristics for the berth-allocation problem Transportation Science 39 4 2005 526 538 (Pubitemid 41706012)
6. T.A. Feo, and M.G.C. Resende Greedy randomized adaptive search procedures Journal of Global Optimization 6 2 1995 109 133
7. M. Ghallab, A. Howe, C. Knoblock, D. McDermott, A. Ram, M. Veloso, D. Weld, D. Wilkins. PDDL - the planning domain definition language. AIPS-98 Planning Committee 1998.
8. Giallombardo Giovanni, Luigi Moccia, Matteo Salani, and Ilaria Vacca Modeling and solving the tactical berth allocation problem Transportation Research Part B: Methodological 44 2 2010 232 245
9. Y. Guan, and R.K. Cheung The berth allocation problem: models and solution methods OR Spectrum 26 1 2004 75 92 (Pubitemid 40549580)
10. Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, and Ioannis Vlahavas A visual programming system for automated problem solving Expert Systems with Applications 37 6 2010 4611 4625
11. L. Henesey, Overview of Transshipment Operations and Simulation. In: MedTrade conference, Malta, April, (2006) pp. 6-7.
12. J. Hoffman, and B. Nebel The FF planning system: fast planning generation through heuristic search Journal of Artificial Intelligence Research 14 2001 253 302
13. Jörg Hoffmann The metric-ff planning system: translating "ignoring delete lists" to numeric state variables Journnal of Artificial International Research 20 1 2003 291 341
14. A. Imai, K.I. Nagaiwa, and Chan Weng TAT Efficient planning of berth allocation for container terminals in Asia Journal of Advanced Transportation 31 1 1997 75 94 (Pubitemid 127603112)
15. K.H. Kim Evaluation of the number of rehandles in container yards Computers & Industrial Engineering 32 4 1997 701 711 New Advances in Analysis of Manufacturing Systems (Pubitemid 127424613)
16. K.H. Kim, and G.P. Hong A heuristic rule for relocating blocks Computers & Operations Research 33 4 2006 940 954 (Pubitemid 41492058)
17. K.H. Kim, and J.W. Bae Re-marshaling export containers in port container terminals Computers & Industrial Engineering 35 3-4 1998 655 658 Selected Papers from the 22nd ICC and IE Conference (Pubitemid 128674801)
18. K.W. Kim, Y.M. Park, and K.R. Ryu Deriving decision rules to locate export containers in container yards European Journal of Operational Research 124 2000 89 101
19. K.K. Lai, and K. Shih A study of container berth allocation Journal of Advanced Transportation 26 1 1992 45 60
20. Yusin Lee, and Nai-Yun Hsu An optimization model for the container pre-marshalling problem Computers & Operations Research 34 11 2007 3295 3313 (Pubitemid 46517858)
21. K. Park, T. Park, K.R. Ryu, Planning for remarshaling in an automated container terminal using cooperative coevolutionary algorithms, in: Proceedings of the 2009 ACM Symposium on Applied Computing. ACM. (2009) pp. 1098-1105.
22. M. Salido, O. Sapena, F. Barber, What is better: 4 tiers or 5 tiers in the container stacking problem? The International Workshop on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, 2009a.
23. M. Salido, O. Sapena, M. Rodriguez, F. Barber, An artificial intelligence planning tool for the container stacking problem, Proceedings of the 14th IEEE International Conference on Emerging Technologies and Factory Automation, 2009b, pp. 532-535.
24. M. Salido, O. Sapena, M. Rodriguez, F. Barber, A planning tool for minimizing reshuffles in containers terminals. ICTAI 2009: 21st International Conference on Tools with Artificial Intelligence, 2009c.
25. O. Sapena, E. Onaindía, Domain independent on-line planning for strips domains, in: Proc. IBERAMIA-02, 2527, 2002 pp. 825-834.
26. R. Stahlbock, and S. Voß Operations research at container terminals: a literature update OR Spectrum 30 1 2008 1 52
27. S. Theofanis, M. Boile, and M.M. Golias Container terminal berth planning Transportation Research Record: Journal of the Transportation Research Board 2100 -1 2009 22 28
28. I.F.A. Vis, and R. De Koster Transshipment of containers at a container terminal: an overview European Journal of Operational Research 147 2003 1 16
29. Terry Winograd Procedures as a Representation for Data in a Computer Program for Understanding Natural Language 1971 MIT. Cent. Space Res. Cambridge, MA