$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Crew pairing optimization based on hybrid approaches

Computers & industrial engineering, v.65 no.1, 2013년, pp.87 - 96  

Aydemir-Karadag, A. ,  Dengiz, B. ,  Bolat, A.

Abstract AI-Helper 아이콘AI-Helper

The crew pairing problem (CPP) deals with generating crew pairings due to law and restrictions and selecting a set of crew pairings with minimal cost that covers all the flight legs. In this study, we present three different algorithms to solve CPP. The knowledge based random algorithm (KBRA) and th...

주제어

참고문헌 (39)

  1. Ahmadbeygi, S., Cohn, A. M. (2006). Generating crew pairings for very large flight networks. Technical report TR06-03. Industrial and Operations Engineering Department, University of Michigan, Ann Arbor. 

  2. Computers and Operations Research Ahmadbeygi 36 4 1284 2009 10.1016/j.cor.2008.02.001 An integer programming approach to generating airline crew pairings 

  3. Anbil, R., Forrest, J., Pulleyblank, W. (1998). Column generation and the airline crew pairing problem (extra Vol. ICM(III), pp. 677-686). Documenta Mathematica. 

  4. Interfaces Anbil 21 1 62 1991 10.1287/inte.21.1.62 Recent advances in crew-pairing optimization at American Airlines 

  5. Transportation Science Arabeyre 3 2 140 1969 10.1287/trsc.3.2.140 The airline crew scheduling problem: A survey 

  6. Transportation Policy Decision Making Baker 3 95 1985 The development of a heuristic set covering based system for aircrew scheduling 

  7. Transportation Science Ball 19 2 107 1985 10.1287/trsc.19.2.107 A graph partitioning approach to airline crew scheduling 

  8. Barahona, F., Anbil, R. (1997). The volume algorithm: Producing primal solutions with a subgradient method. Research report RC 21103 (94395). IBM T.J. Watson Research Center, Yorktown Heights, NY. 

  9. Barnhart 7 1994 Optimization in industry 2: Mathematical programming and modeling techniques in practice A column generation technique for the long-haul crew assignment problem 

  10. Operations Research Barnhart 46 3 316 1998 10.1287/opre.46.3.316 Branch-and-price: Column generation for solving huge integer programs 

  11. Bazargan, M. (2004). Airline operations and scheduling. Burlington: ASHGATE Publications. 

  12. Bornemann, D. R. (1982). The evolution of airline crew pairing optimization. In AGIFORS crew management study group proceedings, Rio de Janeiro (April). 

  13. Chu, P. C, Beasley, J. E. (1995). A genetic algorithm for the set partitioning problem (pp. 1-16). Technical report, Imperial College, The Management School, London SW7 2AZ, England. 

  14. European Journal of Operations Research Chu 97 2 260 1997 10.1016/S0377-2217(96)00196-8 Solving large scale crew scheduling problems 

  15. IEEE Transactions on Evolutionary Computation Dengiz 1 3 179 1997 10.1109/4235.661548 Local search genetic algorithm for optimal design of reliable networks 

  16. European Journal of Operational Research Desaulniers 97 2 245 1997 10.1016/S0377-2217(96)00195-6 Crew pairing at Air France 

  17. Desrosiers, J., Dumas, Y., Desrochers, M., Soumis, F., Sanso, B., & Trudeau, P. (1991). A breakthrough in airline crew scheduling, Cahiers du GERAD G-91-11. 

  18. Transportation Science Etschmaier 19 2 127 1985 10.1287/trsc.19.2.127 Airline scheduling: An overview 

  19. Interfaces Gershkoff 19 4 29 1989 10.1287/inte.19.4.29 Optimizing flight crew schedules 

  20. Operations Research Gilmore 11 6 863 1961 10.1287/opre.11.6.863 A linear programming approach to the cutting stock problem 

  21. Annals of Operation Research Gopalakrishnan 140 1 305 2005 10.1007/s10479-005-3975-3 Airline crew scheduling: State-of-the-art 

  22. Management Science Graves 39 6 736 1993 10.1287/mnsc.39.6.736 Flight crew scheduling 

  23. Gustafsson, T. (1999). A heuristic approach to column generation for airline crew scheduling. Department of Mathematics, Chalmers University of Technology and Gotoborg University, Sweden No:1999-16. ISSN:03472809. 

  24. Management Science Hoffman 39 6 657 1993 10.1287/mnsc.39.6.657 Solving airline crew-scheduling problems by Branch-and-Cut 

  25. Holland 1975 Adaptation in natural and artificial systems 

  26. European Journal of Operational Research Jordan 199 3 620 2009 10.1016/j.ejor.2007.07.035 Hybridizing exact methods and metaheuristics: A taxonomoy 

  27. Computational Optimization and Applications Klabjan 20 1 73 2001 10.1023/A:1011223523191 Solving large airline crew scheduling problems: Random pairing generation and strong branching 

  28. 10.1007/3-540-46014-4_11 Kornilakis, H., & Stamatopoulos, P. (2002). Crew pairing optimization with genetic algorithms. In Proceedings of the 2nd Hellenic conference on artificial intelligence SETN-2002 (pp. 109-120), LNAI 2308, Thessaloniki. 

  29. European Journal of Operations Research Lavoie 35 1 45 1988 10.1016/0377-2217(88)90377-3 A new approach to crew pairing problems by column generation with an application to air transportation 

  30. 10.2172/10161119 Levine, D. (1994). A parallel genetic algorithm for the set partitioning problem. Doctoral dissertation thesis, Illinois Institute of Technology, Department of Computer Science, 1 (also available Technichal Report Argonne National Laboratory ANL-94/23). 

  31. Computers and Operations Research Levine 23 6 547 1996 10.1016/0305-0548(95)00060-7 An application of a hybrid genetic algorithm to airline crew scheduling 

  32. Information Sciences Ozdemir 133 165 2001 10.1016/S0020-0255(01)00083-4 Flight graph based genetic algorithm for crew scheduling in airlines 

  33. Transportation Science Rubin 7 1 34 1973 10.1287/trsc.7.1.34 A technique for the solution of massive set covering problems with applications to airline crew scheduling 

  34. Transportation Science Stojkovic 32 3 232 1998 10.1287/trsc.32.3.232 The operational airline crew scheduling problem 

  35. Transportation Research Stojkovic 36 9 779 2002 An optimization model for a real-time flight scheduling problem 

  36. Operations Research Vance 45 2 188 1995 10.1287/opre.45.2.188 Airline crew scheduling: A new formulation and decomposition algorithm 

  37. Vance, P. H., Atamturk, A., Barnhart, C., Gelman, E., Johnson, E. L., Krishna, A., et al. (1997). A heuristic branch-and-price approach for the airline crew pairing problem. Technical report TLI/LEC-97-06, Georgia, Institute of Technology, Atlanta, GA. 

  38. European Journal of Operations Research Yan 136 3 501 2002 10.1016/S0377-2217(01)00060-1 Discrete optimization: Airline cockpit crew scheduling 

  39. Computers and Operation Research Yan 29 4 341 2002 10.1016/S0305-0548(00)00070-8 Optimal construction of airline individual crew pairings 

관련 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로