The AFSA-GA Algorithm for the Quay Crane Scheduling Problem of the Loading and Unloading Operations
In order to improve the efficiency of container terminals, eliminate the empty quay cranes movements, the simultaneous loading and unloading operations in same ship-bay is advanced. The AFSA-GA algorithm is proposed to solve the mixed integer programming model of the dual-cycle operation, which take advantage of the strong local search ability of GA and the global optimum search ability of AFSA. The experiment shows that AFSA-GA algorithm can improve the operation efficiency of quay crane significantly.
| Year of publication: |
2017
|
|---|---|
| Authors: | Liu, Yi ; Shahbazzade, Sabina ; Wang, Jian |
| Published in: |
International Journal of Software Science and Computational Intelligence (IJSSCI). - IGI Global, ISSN 1942-9037, ZDB-ID 2703774-5. - Vol. 9.2017, 3 (01.07.), p. 59-71
|
| Publisher: |
IGI Global |
| Subject: | Artificial Fish Swarm Algorithm | Computational Intelligence | Dual-Cycle Operations | Genetic Algorithm | Quay Crane Scheduling |
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