GASA Hybird Algorithm Applied in Airline Crew Rostering System

被引：0

作者：

Zhang, Yinghui ^{[1
]}

Rao, Yunbo ^{[1
]}

Zhou, Mingtian ^{[2
]}

机构：

[1] Neusoft Institute of Information, Chengdu

[2] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu

来源：

Tsinghua Science and Technology | 2007年 / 12卷 / SUPPL. 1期

关键词：

crew rostering system; crew rostering system model; genetic algorithms; multi-objective combinatorial optimization; service system; simulated annealing algorithms;

D O I：

10.1016/S1007-0214(07)70120-7

中图分类号：

学科分类号：

摘要：

Crew rostering system is a daily grind in the management of both corporation and enterprise. A fair and reasonable rostering method plays a very important role in the arousing worker's enthusiasm and improving the work efficiency. This paper presents a method of building models for automatic crew rostering mode with computer and advancing the multi-objective optimum scheme. The method to build models for crew rostering system is also discussed. The question to crew rostering system model is solved by genetic algorithms and simulated annealing algorithms. Simulation results show the correctness of algorithms. The actual data of the airways have justified its reasonability and efficiency. © 2007 Tsinghua University Press.

引用

页码：255 / 259

页数：4