DocumentCode
545382
Title
A hybrid heuristic algorithm for integrated large-capacity quay crane scheduling problem
Author
He, Xing ; Wang, Su ; Zheng, Jun
Author_Institution
Comput. Center, East China Normal Univ., Shanghai, China
Volume
1
fYear
2011
fDate
11-13 March 2011
Firstpage
309
Lastpage
312
Abstract
This paper proposed a hybrid heuristic algorithm for the integrated large-capacity quay crane scheduling which has two-quay-crane with non-interference constraints, and this model is decomposed into two types of sequencing, i.e. interstage sequencing (hatch sequencing) and intra-stage sequencing (stack sequencing in the same hatch).The stack sequencing problem is solved by a certain reconstructive Johnson´s rule with an effective local search capability. While a discrete particle swarm optimization is used to generate the solution of the hatch sequencing problem. Finally, numerical experiment was conducted and the simulation results show that the hybrid heuristic algorithm is able to solve the QC scheduling problem, especially for large sizes.
Keywords
cranes; logistics; particle swarm optimisation; scheduling; search problems; stacking; discrete particle swarm optimization; hatch sequencing problem; hybrid heuristic algorithm; large capacity quay crane scheduling problem; local search capability; noninterference constraints; stack sequencing problem; Containers; Cranes; Heuristic algorithms; Job shop scheduling; Loading; Processor scheduling; Hybrid DPSO algorithm; Johnson´s rule; quay crane scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5764026
Filename
5764026
Link To Document