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Volumn 7, Issue , 2007, Pages 142-157

Fast approaches to robust railway timetabling

Author keywords

Integer programming; Robust optimization; Robustness; Stochastic programming; Timetabling

Indexed keywords

MIXED INTEGER PROGRAMMING (MIP); OBJECTIVE FUNCTIONS; OPERATIONAL CONSTRAINTS; OPTIMIZATION TECHNIQUES; RAILWAY TIMETABLING; ROBUST OPTIMIZATION; TIMETABLING; TRAIN TIMETABLING PROBLEM;

EID: 84883015635     PISSN: 21906807     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 2
    • 0036759198 scopus 로고    scopus 로고
    • Modeling and solving the train timetabling problem
    • A. Caprara, M. Fischetti, and P. Toth. Modeling and solving the train timetabling problem. Operations Research, 50(5):851-861, 2002.
    • (2002) Operations Research , vol.50 , Issue.5 , pp. 851-861
    • Caprara, A.1    Fischetti, M.2    Toth, P.3
  • 3
    • 51849143543 scopus 로고    scopus 로고
    • Robust optimization through branch-and-price
    • Cesena, September 12-15
    • M. Fischetti and M. Monaci. Robust optimization through branch-and-price. In AIRO Proceedings, Cesena, September 12-15 2006.
    • (2006) AIRO Proceedings
    • Fischetti, M.1    Monaci, M.2
  • 5
    • 0036013019 scopus 로고    scopus 로고
    • The sample average approximation method for stochastic discrete optimization
    • A. J. Kleywegt, A. Shapiro, and T. Homem-de Mello. The sample average approximation method for stochastic discrete optimization. SIAM J. on Optimization, 12(2):479-502, 2002.
    • (2002) SIAM J. on Optimization , vol.12 , Issue.2 , pp. 479-502
    • Kleywegt, A.J.1    Shapiro, A.2    Homem-De Mello, T.3
  • 7
    • 33644697284 scopus 로고    scopus 로고
    • The empirical behavior of sampling methods for stochastic programming
    • February
    • J. Linderoth, A. Shapiro, and S. Wright. The empirical behavior of sampling methods for stochastic programming. Annals of Operations Research, 142(1):215-241, February 2006.
    • (2006) Annals of Operations Research , vol.142 , Issue.1 , pp. 215-241
    • Linderoth, J.1    Shapiro, A.2    Wright, S.3
  • 8
    • 0030370879 scopus 로고    scopus 로고
    • On latin hypercube sampling
    • W. L. Loh. On latin hypercube sampling. The Annals of Statistics, 24(5), 1996.
    • (1996) The Annals of Statistics , vol.24 , Issue.5
    • Loh, W.L.1
  • 9
    • 0032632474 scopus 로고    scopus 로고
    • Monte Carlo bounding techniques for determining solution quality in stochastic programs
    • February
    • W. K. Mak, D. P. Morton, and R. K. Wood. Monte carlo bounding techniques for determining solution quality in stochastic programs. Operations Research Letters, 24(24):10, February 1999.
    • (1999) Operations Research Letters , vol.24 , Issue.24 , pp. 10
    • Mak, W.K.1    Morton, D.P.2    Wood, R.K.3
  • 12
    • 35148896113 scopus 로고    scopus 로고
    • Monte Carlo sampling approach to stochastic programming
    • December
    • A. Shapiro. Monte carlo sampling approach to stochastic programming. In ESAIM: Proceedings, volume 13, pages 65-73, December 2003.
    • (2003) ESAIM: Proceedings , vol.13 , pp. 65-73
    • Shapiro, A.1
  • 13
    • 0037322974 scopus 로고    scopus 로고
    • The sample average approximation method applied to stochastic routing problems: A computational study
    • B. Verweij, S. Ahmed, A. J. Kleywegt, G. Nemhauser, and A. Shapiro. The sample average approximation method applied to stochastic routing problems: A computational study. Comput. Optim. Appl., 24, 2003.
    • Comput. Optim. Appl. , vol.24 , pp. 2003
    • Verweij, B.1    Ahmed, S.2    Kleywegt, A.J.3    Nemhauser, G.4    Shapiro, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.