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Volumn , Issue , 2006, Pages 255-263

A testbed of simulation-optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMIZ ATION PROBLEMS; OPTIMIZATION TECHNIQUES; TEST BEDS; TIME PERFORMANCE;

EID: 34250357037     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2006.323081     Document Type: Conference Paper
Times cited : (47)

References (12)
  • 1
    • 77950468650 scopus 로고    scopus 로고
    • Metamodel-based simulation optimization
    • ed. S. G. Henderson and B. L. Nelson, Elsevier
    • Barton, R. R., and M. Meckesheimer. 2006. Metamodel-based simulation optimization. In Handbook of Simulation, ed. S. G. Henderson and B. L. Nelson, 535-574. Elsevier.
    • (2006) Handbook of Simulation , pp. 535-574
    • Barton, R.R.1    Meckesheimer, M.2
  • 3
    • 28244496090 scopus 로고    scopus 로고
    • Benchmarking optimization software with performance profiles
    • Dolan, E. D., and J. J. Moré. 2002. Benchmarking optimization software with performance profiles. Mathematical Programming, Series A 91:201-213.
    • (2002) Mathematical Programming, Series A , vol.91 , pp. 201-213
    • Dolan, E.D.1    Moré, J.J.2
  • 4
    • 0012260296 scopus 로고    scopus 로고
    • Optimization for simulation: Theory vs. practice
    • Fu, M. C. 2002. Optimization for simulation: theory vs. practice. INFORMS Journal on Computing 14:192-215.
    • (2002) INFORMS Journal on Computing , vol.14 , pp. 192-215
    • Fu, M.C.1
  • 6
    • 17744379003 scopus 로고    scopus 로고
    • Additional perspectives on simulation for optimization
    • Glynn, P. W. 2002. Additional perspectives on simulation for optimization. INFORMS Journal on Computing 14:220-222.
    • (2002) INFORMS Journal on Computing , vol.14 , pp. 220-222
    • Glynn, P.W.1
  • 8
    • 0025840811 scopus 로고
    • Guidelines for reporting results of computational experiments. Report of the ad hoc committee
    • Jackson, R. H. F., P. T. Boggs, S. G. Nash, and S. Powell. 1991. Guidelines for reporting results of computational experiments. Report of the ad hoc committee. Mathematical Programming 49 (3): 413-425.
    • (1991) Mathematical Programming , vol.49 , Issue.3 , pp. 413-425
    • Jackson, R.H.F.1    Boggs, P.T.2    Nash, S.G.3    Powell, S.4
  • 10
    • 0032632474 scopus 로고    scopus 로고
    • Monte Carlo bounding techniques for determining solution quality in stochastic programs
    • Mak, W.-K., D. P. Morton, and R. K. Wood. 1999. Monte Carlo bounding techniques for determining solution quality in stochastic programs. Operations Research Letters 24:47-56.
    • (1999) Operations Research Letters , vol.24 , pp. 47-56
    • Mak, W.-K.1    Morton, D.P.2    Wood, R.K.3
  • 11
    • 22044435106 scopus 로고    scopus 로고
    • A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
    • Montaz Ali, M., C. Khompatraporn, and Z. B. Zabinsky. 2005. A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems. Journal of Global Optimization 31:635-672.
    • (2005) Journal of Global Optimization , vol.31 , pp. 635-672
    • Montaz Ali, M.1    Khompatraporn, C.2    Zabinsky, Z.B.3
  • 12
    • 84910559080 scopus 로고
    • Evaluating mathematical programming techniques
    • Mulvey, J. M, Ed, of, New York: Springer-Verlag
    • Mulvey, J. M. (Ed.) 1982. Evaluating mathematical programming techniques, Volume 199 of Lecture Notes in Economics and Mathematical Systems. New York: Springer-Verlag.
    • (1982) Lecture Notes in Economics and Mathematical Systems , vol.199


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.