A Genetic Algorithm for Berth Allocation and Quay Crane Assignment

被引:0
|
作者
Rodriguez-Molins, Mario [1 ]
Barber, Federico [1 ]
Sierra, Maria R. [2 ]
Puente, Jorge [2 ]
Salido, Miguel A. [1 ]
机构
[1] Univ Politecn Valencia Spain, Inst Automat & Informat Ind, Valencia, Spain
[2] Univ Oviedo, Dept Comp Sci, Oviedo, Spain
来源
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2012 | 2012年 / 7637卷
关键词
scheduling; planning; genetic algorithms; metaheuristics; berthing allocation; quay crane assignment; JOB-SHOP;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Container terminals are facilities where cargo containers are transshipped between different transport vehicles, for onward transportation. They are open systems that carry out a large number of different combinatorial problems that can be solved by means of Artificial Intelligence techniques. In this work, we focus our attention on scheduling a number of incoming vessels by assigning to each a berthing position, a mooring time and a number of Quay Cranes. This problem is known as the Berthing Allocation and Quay Crane Assignment problem. To formulate the problem, we first propose a mixed integer linear programming model to minimize the total weighted service time of the incoming vessels. Then, a meta-heuristic algorithm (Genetic Algorithm (GA)) is presented for solving the proposed problem. Computational experiments are performed to evaluate the effectiveness and efficiency of the proposed method.
引用
收藏
页码:601 / 610
页数:10
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