A genetic algorithm for optimization of integrated scheduling of cranes, vehicles, and storage platforms at automated container terminals

作者：

Highlights：

• A new genetic algorithm for the integrated scheduling of handling and storage equipment was developed.

• The control parameters of the GA were examined.

• The proposed GA was compared against a previously developed algorithm.

• Integrated and non-integrated scheduling methods were examined in large scale test cases.

• Three various dwell point policies for the storage platforms were examined.

摘要

•A new genetic algorithm for the integrated scheduling of handling and storage equipment was developed.•The control parameters of the GA were examined.•The proposed GA was compared against a previously developed algorithm.•Integrated and non-integrated scheduling methods were examined in large scale test cases.•Three various dwell point policies for the storage platforms were examined.

论文关键词：ACT,Automated container terminal,AGV,Automated guided vehicle,ASC,Automated stacking crane,EAV,Earliest available vehicle,FCFS,First come first service,GA,Genetic algorithm,IS,Integrated scheduling,L/U,Loading/unloading,NIS,Non-integrated scheduling,QC,Quay crane,SAA,Simulated annealing algorithm,SP-AS/RS,Split-platform automated storage/retrieval system,Integrated scheduling,Genetic algorithm,Automated guided vehicles,Quay cranes,Split-platform automated storage/retrieval system

论文评审过程：Received 18 July 2013, Revised 22 November 2013, Available online 3 December 2013.

论文官网地址：https://doi.org/10.1016/j.cam.2013.11.021