@inproceedings{e2ba2b4557b44a3eb54941a8e7bcc5f6,
title = "Multiobjective Optimization Approaches to Airline Crew Rostering Problems: A Case Study",
abstract = "This work investigates an airline crew rostering problem derived from a real practice of a large airline company in China. The problem has the characteristics of large scale, complex constraints and multiple objectives. Three multiobjective evolutionary algorithms are developed to seek a set of approximated Pareto optimal solutions. The algorithms are verified via several groups of instances extracted from a realworld airline's operational data. The computational results can help us gain insight into how to make better trade-off decisions among different objectives.",
author = "Zizhen Zhang and Mengchu Zhou and Songshan Guo",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th IEEE International Conference on Automation Science and Engineering, CASE 2018 ; Conference date: 20-08-2018 Through 24-08-2018",
year = "2018",
month = dec,
day = "4",
doi = "10.1109/COASE.2018.8560581",
language = "English (US)",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "750--755",
booktitle = "2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018",
address = "United States",
}