@inproceedings{f70c7ad12dcc40d28678d978dba87508,
title = "Optimizing airport gate assignment with operational safety constraints",
abstract = "This paper makes a comprehensive review of existing approaches and presents an optimization model for the airport gate assignment problem (AGAP) considering operational safety constraints. The main objective is to minimize the dispersion of gate idle time periods (robust assignment) while dealing with the problem of aircraft size mismatching with its gate type and avoiding the potential hazard caused by gate apron operational conflict. Genetic algorithm is adopted to solve the problem. An illustrative example is given to show the validity of the model and algorithm.",
keywords = "AGAP, genetic algorithm, mismatching, operational safety constraints, robust assignment",
author = "Shuo Liu and Wenhua Chen and Jiyin Liu",
note = "Publisher Copyright: {\textcopyright} 2014 Chinese Automation and Computing Society in the UK-CACS.; 20th International Conference on Automation and Computing, ICAC 2014 ; Conference date: 12-09-2014 Through 13-09-2014",
year = "2014",
month = oct,
day = "24",
doi = "10.1109/IConAC.2014.6935461",
language = "English",
series = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "61--66",
editor = "Xichun Luo and Yi Cao and Zhen Tong",
booktitle = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing",
}