A berth allocation planning problem with direct transshipment consideration

Journal of Intelligent Manufacturing

Volumn 23, Issue 6, 2012, Pages 2207-2214

  Liang, Chengji ^a   Hwang, Hark ^b   Gen, Mitsuo ^c,d  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c FUZZY LOGIC SYSTEMS INSTITUTE   (Japan)

^d Hanyang University   (South Korea)

Author keywords

Berth allocation planning; Container terminal; Hybrid multistage operation based genetic algorithm; Ship to ship; Transshipment

Indexed keywords

BERTH ALLOCATION PLANNING; CONTAINER TERMINAL; CONTAINER THROUGHPUT; DEEP-WATER PORT; ENCODING METHODS; MULTISTAGE OPERATION-BASED GENETIC ALGORITHM; NUMERICAL EXPERIMENTS; PLANNING PROBLEM; PRIORITY-BASED; QUAY CRANES; TRANSPORT INDUSTRY; TRANSPORT PROBLEMS; TRANSSHIPMENT;

GENETIC ALGORITHMS; MATHEMATICAL MODELS; PORT TERMINALS; PORTS AND HARBORS; RAILROAD YARDS AND TERMINALS; TRANSFER CASES (VEHICLES);

SHIPS;

EID: 84870953510     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-011-0566-9     Document Type: Article

References (22)

1. Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. New York: Wiley.
2. Ding, Y. Z., Fei, H. Y., & Han, X. l. (2004). An overview on container logistics through a terminal. Journal of Shanghai Maritime University, 25, 45-54.
3. Gen, M., & Cheng, R. (1997). Genetic algorithms & engineering design. New York: Wiley.
4. Gen, M., & Cheng, R. (2000). Genetic algorithms and engineering optimization. New york: Wiley.
5. Gen, M., Cheng, R., & Lin, L. (2008). Network models and optimization: Multiobjective genetic algorithm approach. London: Springer.
6. Gen, M., Lin, L., & Zhang, H. (2009). Evolutionary techniques for optimization problems in integrated manufacturing system: Stateof-The-Art- survey. Computers & Industrial Engineering, 56(3), 779-808.
7. Guan, Y., & Xiao, W. Q. (2002). A multiprocessor task scheduling model for berth allocation: Heuristic and worst-case analysis. Operations Research Letters, 30, 343-350.
8. Imai, A., Nishimura, E., & Papadimitriou, S. (2001). The dynamic berth allocation problem for a container port. Transportation Research Part B: Methodological, 35, 401-417.
9. Imai, A., Nishimura, E., & Papadimitriou, S. (2005). Berth allocation in a container port: Using a continuous location space approach. Transportation Research Part B: Methodological, 39, 199-221.
10. Imai, A., Nishimura, E., Hattori,M., & Papadimitriou, S. (2007). Berth allocation at indented berths for mega-containerships. European Journal of Operational Research, 179, 579-593.
11. Kim, K., & Moon, K. C. (2003). Berth scheduling by simulated annealing. Transportation Research Part B, 37, 541-560.
12. Liang, C., & Gen, M. (2006). Hybrid genetic algorithm for considering quay crane scheduling in Berth allocation planning problem. In Proceedings of Asia-Pacific workshop on intelligent and evolutionary systems (APWIES), Busan, Korea.
13. Liang, C., Huang, Y., & Yang, Y. (2009). A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation planning. Computers & Industrial Engineering, 56, 1021-1028.
14. Lim, A. (1998). The berth planning problem. Operations Research Letters, 22, 105-110.
15. Lin, L., Shinn, S. W., & Gen, M. (2006). Network model and effective evolutionary approach for AGV dispatching in manufacturing system. Journal of Intelligent Manufacturing, 17, 465-477.
16. Man, Y., & Kim, K. H. (2003). A scheduling method for berth and quay cranes. OR Spectrum. pp. 1-23.
17. Nishimura, E., Imai, A., & Papadimitriou, S. (2001). Berth allocation planning in the public berth system by genetic algorithms. European Journal of Operational Research, 131, 282-292.
18. Park, K., & Kim, K. (2003). Berth scheduling for container terminals by using a sub-gradient optimization technique. Journal of Operational Research Society, 53, 1054-1062.
19. Stahlbock, R., & Stefan, V. (2008). Operations research at container terminals: A literature update. OR Spectrum, 30(1), 1-52.
20. Wang, F., & Lim, A. (2006). A stochastic beam search for the berth allocation problem. Decision Support Systems, 20, 1-11.
21. Yoo, M. R., & Gen, M. (2007). Scheduling algorithm for real-Time tasks using multi-objective hybrid genetic algorithm in heterogeneous multi-processors system. Computers & Operations Research, 34(10), 3084-3098.
22. Yu, X., & Gen, M. (2010). Introduction to evolutional algorithms. London: Springer.