Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76519
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dc.contributor資管系
dc.creatorLo, C.-C.;Deng, Guang-Feng
dc.creator鄧廣豐zh_TW
dc.date2007
dc.date.accessioned2015-07-13T08:29:17Z-
dc.date.available2015-07-13T08:29:17Z-
dc.date.issued2015-07-13T08:29:17Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/76519-
dc.description.abstractIn 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.
dc.format.extent176 bytes-
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dc.relationProceedings - Third International Conference on Natural Computation, ICNC 2007,Volume 4, 論文編號 4344781, Pages 797-801
dc.relation3rd International Conference on Natural Computation, ICNC 2007,24 August 2007 through 27 August 2007,Haikou, Hainan
dc.subjectAirline crew scheduling problems; Near-optimal solutions; Air transportation; Combinatorial optimization; Problem solving; Scheduling; Traveling salesman problem; Learning algorithms
dc.titleUsing ant colony optimization algorithm to solve airline crew scheduling problems
dc.typeconferenceen
dc.identifier.doi10.1109/ICNC.2007.797
dc.doi.urihttp://dx.doi.org/10.1109/ICNC.2007.797
item.cerifentitytypePublications-
item.openairetypeconference-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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