A multi-objective genetic algorithm for berth allocation and quay crane assignment problem

Author(s):  
Ji Xiaotao ◽  
Du Yuquan ◽  
Chen Qiushuang
2011 ◽  
Vol 97-98 ◽  
pp. 619-622 ◽  
Author(s):  
Na Li ◽  
Zhi Hong Jin ◽  
Erick Massami

The combined optimization of continuous berth allocation problem and quay crane assignment problem are solved. Considering the real constraints of container terminal, an improved genetic algorithm is proposed. The chromosome is composed of berthing time, berthing location and number of quay cranes. While in the following, specific quay cranes are fixed to assign to ships. Through comparisons with the former two literatures, the results are improved averagely by 33.78% and 28.57% respectively by the proposed genetic algorithm, which shows its effectiveness.


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