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    题名: Using ant colony optimization algorithm to solve airline crew scheduling problems
    作者: Lo, C.-C.;Deng, Guang-Feng
    鄧廣豐
    贡献者: 資管系
    关键词: Airline crew scheduling problems;Near-optimal solutions;Air transportation;Combinatorial optimization;Problem solving;Scheduling;Traveling salesman problem;Learning algorithms
    日期: 2007
    上传时间: 2015-07-13 16:29:17 (UTC+8)
    摘要: In this paper, an Ant Colony Optimization (ACO) based Ant Crew Scheduling Model (ACSM) is proposed to solve airline crew scheduling problems. In the proposed ACSM, airline crew scheduling problems are first formulated as traveling salesman problems with flight graph representation. Then, the ACO algorithm is applied to search near-optimal solutions for airline crew schedules. The validity of the proposed ACSM is verified by implementing it in real study cases. The results from the implementation and evaluation confirm that the proposed ACSM is suitable for the airline crew scheduling problems with good performance. © 2007 IEEE.
    關聯: Proceedings - Third International Conference on Natural Computation, ICNC 2007,Volume 4, 論文編號 4344781, Pages 797-801
    3rd International Conference on Natural Computation, ICNC 2007,24 August 2007 through 27 August 2007,Haikou, Hainan
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/ICNC.2007.797
    DOI: 10.1109/ICNC.2007.797
    显示于类别:[資訊管理學系] 會議論文

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