메뉴 건너뛰기




Volumn 173, Issue 1, 2006, Pages 30-46

A stochastic quasi-Newton method for simulation response optimization

Author keywords

Nonlinear programming; Simulation; Stochastic optimization

Indexed keywords

NONLINEAR PROGRAMMING; PROBLEM SOLVING; RANDOM PROCESSES; STATISTICAL METHODS;

EID: 33646120566     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2004.12.011     Document Type: Article
Times cited : (12)

References (40)
  • 1
    • 0000813026 scopus 로고
    • A stochastic approximation algorithm with varying bounds
    • Andradottir S. A stochastic approximation algorithm with varying bounds. Operations Research 43 (1995) 1037-1048
    • (1995) Operations Research , vol.43 , pp. 1037-1048
    • Andradottir, S.1
  • 2
    • 0348149542 scopus 로고    scopus 로고
    • A scaled stochastic approximation algorithm
    • Andradottir S. A scaled stochastic approximation algorithm. Management Science 42 (1996) 475-498
    • (1996) Management Science , vol.42 , pp. 475-498
    • Andradottir, S.1
  • 3
    • 85023829264 scopus 로고    scopus 로고
    • Azadivar, F., 1992. A tutorial on simulation optimization. In: Proceedings of the 1992 Winter Simulation Conference, pp. 198-204.
  • 4
    • 0001446599 scopus 로고    scopus 로고
    • Nelder-Mead simplex modifications for simulation optimization
    • Barton R.R., and Ivey Jr. J.S. Nelder-Mead simplex modifications for simulation optimization. Management Science 42 (1996) 954-973
    • (1996) Management Science , vol.42 , pp. 954-973
    • Barton, R.R.1    Ivey Jr., J.S.2
  • 6
    • 0001423485 scopus 로고
    • A tool for the analysis of quasi-Newton methods with application to unconstrained minimization
    • Byrd R.H., and Nocedal J. A tool for the analysis of quasi-Newton methods with application to unconstrained minimization. SIAM Journal of Numerical Analysis 26 (1989) 727-739
    • (1989) SIAM Journal of Numerical Analysis , vol.26 , pp. 727-739
    • Byrd, R.H.1    Nocedal, J.2
  • 8
    • 0020498889 scopus 로고
    • Stochastic quasigradient methods and their application to system optimization
    • Ermoliev Y. Stochastic quasigradient methods and their application to system optimization. Stochastics 9 (1983) 1-36
    • (1983) Stochastics , vol.9 , pp. 1-36
    • Ermoliev, Y.1
  • 10
    • 34249770616 scopus 로고
    • Optimization via simulation: A review
    • Fu M.C. Optimization via simulation: A review. Annals of Operations Research 53 (1994) 199-247
    • (1994) Annals of Operations Research , vol.53 , pp. 199-247
    • Fu, M.C.1
  • 11
    • 0031096068 scopus 로고    scopus 로고
    • Techniques for optimization via simulation: An experimental study on an (s, S) inventory system
    • Fu M.C., and Healy K.J. Techniques for optimization via simulation: An experimental study on an (s, S) inventory system. IIE Transactions 29 (1997) 191-199
    • (1997) IIE Transactions , vol.29 , pp. 191-199
    • Fu, M.C.1    Healy, K.J.2
  • 12
    • 0029359066 scopus 로고
    • Comparison of gradient estimation techniques for queues with non-identical servers
    • Fu M.C., Hu J.-Q., and Nagi R. Comparison of gradient estimation techniques for queues with non-identical servers. Computers and Operations Research 22 (1995) 715-729
    • (1995) Computers and Operations Research , vol.22 , pp. 715-729
    • Fu, M.C.1    Hu, J.-Q.2    Nagi, R.3
  • 14
    • 0022893366 scopus 로고    scopus 로고
    • Glynn, P.W., 1986. Optimization of stochastic systems. In: Proceedings of the 1986 Winter Simulation Conference, pp. 52-59.
  • 15
    • 0034411933 scopus 로고    scopus 로고
    • Simulation optimization of buffer allocation in production lines with unreliable machines
    • Gurkan G. Simulation optimization of buffer allocation in production lines with unreliable machines. Annals of Operations Research 93 (2000) 177-216
    • (2000) Annals of Operations Research , vol.93 , pp. 177-216
    • Gurkan, G.1
  • 20
    • 0018519632 scopus 로고
    • A sequential procedure for determining the length of a steady-state simulation
    • Law A.M., and Carson J.S. A sequential procedure for determining the length of a steady-state simulation. Operations Research 27 (1979) 1011-1025
    • (1979) Operations Research , vol.27 , pp. 1011-1025
    • Law, A.M.1    Carson, J.S.2
  • 22
    • 0000391011 scopus 로고
    • Stochastic optimization by simulation: Numerical experiments with the M/M/1 queue in steady-state
    • L'Ecuyer P., Giroux N., and Glynn P.W. Stochastic optimization by simulation: Numerical experiments with the M/M/1 queue in steady-state. Management Science 40 (1994) 1245-1261
    • (1994) Management Science , vol.40 , pp. 1245-1261
    • L'Ecuyer, P.1    Giroux, N.2    Glynn, P.W.3
  • 23
    • 0028546691 scopus 로고
    • Stochastic optimization by simulation: Convergence proofs for the GI/G/1 queue in steady state
    • L'Ecuyer P., and Glynn P.W. Stochastic optimization by simulation: Convergence proofs for the GI/G/1 queue in steady state. Management Science 40 (1994) 1526-1578
    • (1994) Management Science , vol.40 , pp. 1526-1578
    • L'Ecuyer, P.1    Glynn, P.W.2
  • 24
    • 0001577860 scopus 로고
    • On the convergence rate of IPA and FDC derivative estimators
    • L'Ecuyer P., and Perron G. On the convergence rate of IPA and FDC derivative estimators. Operations Research 42 (1994) 643-656
    • (1994) Operations Research , vol.42 , pp. 643-656
    • L'Ecuyer, P.1    Perron, G.2
  • 25
    • 0032326765 scopus 로고    scopus 로고
    • Budget-dependent convergence rate for stochastic approximation
    • L'Ecuyer P., and Yin G. Budget-dependent convergence rate for stochastic approximation. SIAM Journal on Optimization 8 (1998) 217-247
    • (1998) SIAM Journal on Optimization , vol.8 , pp. 217-247
    • L'Ecuyer, P.1    Yin, G.2
  • 27
    • 0023572649 scopus 로고    scopus 로고
    • Meketon, M.S., 1987. Optimization in simulation: A survey of recent results. In: Proceedings of the 1987 Winter Simulation Conference, pp. 58-67.
  • 29
    • 0001621211 scopus 로고    scopus 로고
    • Sample-path optimization of convex stochastic performance functions
    • Plambeck E.L., Fu B.R., Robinson S.M., and Suri R. Sample-path optimization of convex stochastic performance functions. Mathematical Programming 75 (1996) 137-176
    • (1996) Mathematical Programming , vol.75 , pp. 137-176
    • Plambeck, E.L.1    Fu, B.R.2    Robinson, S.M.3    Suri, R.4
  • 30
    • 0017922649 scopus 로고
    • Nonlinear programming methods in the presence of noise
    • Poljak B.T. Nonlinear programming methods in the presence of noise. Mathematical Programming 14 (1978) 87-97
    • (1978) Mathematical Programming , vol.14 , pp. 87-97
    • Poljak, B.T.1
  • 31
    • 0002855438 scopus 로고
    • Some global convergence properties of a variable metric algorithm for minimization without exact line searches
    • Nonlinear Programming. Cottle R.W., and Lemke C.E. (Eds), American Mathematical Society, New York
    • Powell M.J.D. Some global convergence properties of a variable metric algorithm for minimization without exact line searches. In: Cottle R.W., and Lemke C.E. (Eds). Nonlinear Programming. SIAM-AMS proceedings vol. IX (1976), American Mathematical Society, New York 53-72
    • (1976) SIAM-AMS proceedings , vol.IX , pp. 53-72
    • Powell, M.J.D.1
  • 33
    • 0023846585 scopus 로고
    • Substitute derivatives in unconstrained optimization: A comparison of finite difference and response surface approximation
    • Ringuest J.L. Substitute derivatives in unconstrained optimization: A comparison of finite difference and response surface approximation. Computers and Operations Research 15 (1988) 314-352
    • (1988) Computers and Operations Research , vol.15 , pp. 314-352
    • Ringuest, J.L.1
  • 34
    • 0002686402 scopus 로고
    • A convergence theorem for nonnegative almost supermartingales and some applications
    • Rustagi J.S. (Ed), Academic Press, New York
    • Robbins H., and Siegmund D. A convergence theorem for nonnegative almost supermartingales and some applications. In: Rustagi J.S. (Ed). Optimizing Methods of Statistics (1971), Academic Press, New York 233-257
    • (1971) Optimizing Methods of Statistics , pp. 233-257
    • Robbins, H.1    Siegmund, D.2
  • 37
    • 0025558461 scopus 로고
    • Optimization in simulation: Current issues and the future outlook
    • Safizadeh M.H. Optimization in simulation: Current issues and the future outlook. Naval Research Logistics 37 (1990) 807-825
    • (1990) Naval Research Logistics , vol.37 , pp. 807-825
    • Safizadeh, M.H.1
  • 38
    • 0001723504 scopus 로고
    • Optimization of simulation via quasi-Newton methods
    • Safizadeh M.H., and Signorile R. Optimization of simulation via quasi-Newton methods. ORSA Journal on Computing 6 (1994) 398-408
    • (1994) ORSA Journal on Computing , vol.6 , pp. 398-408
    • Safizadeh, M.H.1    Signorile, R.2
  • 40
    • 0024621270 scopus 로고
    • Single run optimization of discrete event simulations-an empirical study using the M/M/1 queue
    • Suri R., and Leung Y.T. Single run optimization of discrete event simulations-an empirical study using the M/M/1 queue. IIE Transactions 21 (1989) 35-49
    • (1989) IIE Transactions , vol.21 , pp. 35-49
    • Suri, R.1    Leung, Y.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.