@inbook{447d4efde2564c0e9d26fd0931a0fbc3,
title = "A case study of genetic algorithms for quay crane scheduling",
abstract = "In the operations of container terminals, a proper organized quay-crane-scheduling is critical to the operational efficiency. The aim of this paper is to develop a two-quay-crane schedule with non-interference constraints for the port container terminal of Narvik. First, a mathematical formulation of the problem is provided, and then a Genetic Algorithm (GA) approach is developed to obtain near optimal solutions. Finally, computational experiments on GA approach with different parameters are conducted. {\textcopyright} 2009 Springer-Verlag Berlin Heidelberg.",
author = "Yi Wang and Yun Chen and Kesheng Wang",
note = "10.1007/978-3-540-92814-0\_19",
year = "2009",
doi = "10.1007/978-3-540-92814-0\_19",
language = "English",
volume = "214",
series = "Studies in Computational Intelligence",
publisher = "Springer Nature",
pages = "119--125",
booktitle = "Studies in Computational Intelligence|Stud. Comput. Intell.",
address = "United States",
}