Multiobjective Optimization Approaches to Airline Crew Rostering Problems: A Case Study

被引：0
|
作者：
Zhang, Zizhen [1 ]
Zhou, MengChu [2 ]
Guo, Songshan [1 ]
机构：
[1] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R China
[2] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
来源：
2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2018年
基金：
美国国家科学基金会;
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 real world airline's operational data. The computational results can help us gain insight into how to make better trade-off decisions among different objectives.
引用
收藏
页码：750 / 755
页数：6
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