DocumentCode :
2513433
Title :
A multi-objective genetic algorithm for berth allocation and quay crane assignment problem
Author :
Xiaotao, Ji ; Yuquan, Du ; Qiushuang, Chen
Author_Institution :
Dept. of Autom., Nankai Univ., Tianjin, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
891
Lastpage :
896
Abstract :
We consider a berth allocation and quay crane assignment problem (BACAP) to concurrently optimize the two objectives: operation cost and customer satisfaction. We formulate the multi-objective BACAP as a mixed-integer nonlinear programming model. The latter objective is based on vessel departure tardiness which is measured from the perspective of behavioral operations research. A multi-objective genetic algorithm with a novel decoding scheme is proposed. Several efficient solutions can be obtained to facilitate the decision making in the terminal to trade-off the terminal cost and customer satisfaction.
Keywords :
costing; cranes; customer satisfaction; genetic algorithms; integer programming; nonlinear programming; operations research; resource allocation; sea ports; behavioral operations research; berth allocation and quay crane assignment problem; customer satisfaction; decision making; decoding scheme; mixed-integer nonlinear programming model; multiobjective genetic algorithm; operation cost; terminal cost; vessel departure tardiness; Cranes; Customer satisfaction; Electronic mail; Genetic algorithms; Operations research; Optimization; Resource management; behavioral operation research; berth allocation; genetic algorithm; multi-objective optimization; quay crane assignment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968309
Filename :
5968309
Link To Document :
بازگشت