Feature Article: Optimization for simulation: Theory vs. Practice
Published Online:1 Aug 2002https://doi.org/10.1287/ijoc.14.3.192.113
References
- A global search method for discrete stochastic optimization. SIAM Journal on Optimization (1996) 6:513–530Crossref, Google Scholar
- , Banks J. Simulation optimization. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice (1998) (John Wiley & Sons, New York) . Chapter 9 inCrossref, Google Scholar
- Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice (1998) (John Wiley & Sons, New York) Crossref, Google Scholar
- Discrete Event Systems Simulation (2000) 3rd ed.(Prentice Hall, Englewood Cliffs, NJ) Google Scholar
- Simulation metamodels. Proceedings of the Winter Simulation Conference (1998) 167–174Crossref, Google Scholar
- Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons (1995) (John Wiley & Sons, New York) Google Scholar
- OptimizingAutoMod Models with Auto-Stat. AutoFlash (2000) (Monthly Newsletter, AutoSimulations, Inc., Bountiful, UT) . FebruaryGoogle Scholar
- Search and Selection for Large-Scale Stochastic Optimization (1999) . Ph.D. dissertation Department of Industrial Engi-neeringand Management Sciences, Northwestern University, Evanston, ILGoogle Scholar
- A framework for simulation-optimization software. IIE Transactions (2001) . forthcomingGoogle Scholar
- Usingrankingand selection to ‘clean up’ after simulation optimization. submitted for publication. Operations Research (2001) Google Scholar
- From Natural to Artificial Swarm Intelligence (1999) (Oxford University Press, New York) Crossref, Google Scholar
- Large Deviations Techniques in Decision, Simulation, and Estimation (1990) (John Wiley & Sons, New York) Google Scholar
- Computingefforts allocation for ordinal optimization and discrete event simulation. IEEE Transactions on Automatic Control (2000) 45:960–964Crossref, Google Scholar
- Simulation budget allocation for further enhancingthe efficiency of ordinal optimization. Journal of Discrete Event Dynamic Systems: Theory and Applications (2000) 10:251–270Crossref, Google Scholar
- New Ideas in Optimisation (1999) (McGraw-Hill, New York) Google Scholar
- Convergence properties of ordinal comparison in the simulation of discrete event dynamic systems. Journal of Optimization Theory and Applications (1996) 91:363–388Crossref, Google Scholar
- Rate of convergence for ordinal comparison of dependent simulations in discrete event dynamic systems. Journal of Optimization Theory and Applications (1997) 94:29–54Crossref, Google Scholar
- Large Deviations Techniques and Applications (1998) 2nd ed.(Springer-Verlag, Berlin, Germany) Crossref, Google Scholar
- , Corne D., Dorigo M., Glover F. The ant colony optimization meta-heuristic. New Ideas in Optimization (1999) (McGraw-Hill, New York) 11–32Crossref, Google Scholar
- Optimization via simulation: A review. Annals of Operations Research (1994) 53:199–248Crossref, Google Scholar
- Integrating optimization and simulation: research and practice. Proceedings of the Winter Simulation Conference (2000) 610–616 http://www.informs-cs.org/wsc00papers/082.PDFCrossref, Google Scholar
- Optimization of discrete event systems via simultaneous perturbation stochastic approximation. IIE Transactions (1997) 29:233–243Crossref, Google Scholar
- Sensitivity analysis for Monte Carlo simulation of option pricing. (1995) 9:417–446Probability in the Engineering and Information SciencesGoogle Scholar
- Conditional Monte Carlo: Gradient Estimation and Optimization Applications (1997) (Kluwer Academic, Boston, MA) Crossref, Google Scholar
- Encyclopedia of Operations Research and Management Science (2000) 2nd ed.(Kluwer Academic, Boston, MA) Google Scholar
- Optimization over discrete sets via SPSA. Proceedings of the IEEE Conference on Decision and Control (1999) 1791–1795Crossref, Google Scholar
- Gradient Estimation Via Perturbation Analysis (1991) (Kluwer Academic, Boston, MA) Google Scholar
- , Banks J. Comparingsystems via simulation in. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice (1998) (John Wiley & Sons, New York) 273–306Chapter 8Crossref, Google Scholar
- New advances for wedding optimization and simulation. Proceedings of the Winter Simulation Conference (1999) 255–260Crossref, Google Scholar
- A rankingand selection project: Experiences from a university-industry collaboration. Proceedings of the Winter Simulation Conference (1999) 83–92Google Scholar
- Sample-path solution of stochastic variational inequalities. Mathematical Programming (1999) 84:313–333Crossref, Google Scholar
- Multiple Comparison Procedures (1987) (John Wiley & Sons, New York) Crossref, Google Scholar
- Discrete Event Dynamics Systems and Perturbation Analysis (1991) (Kluwer Academic, Boston, MA) Crossref, Google Scholar
- Ordinal optimization and simulation. Journal of Operations Research Society (2000) 51:490–500Crossref, Google Scholar
- Ordinal optimization of DEDS. Discrete Event Dynamic Systems: Theory and Applications (1992) 2:61–88Crossref, Google Scholar
- A review of techniques for simulation optimization. Operations Research Letters (1989) 8:1–9Crossref, Google Scholar
- , Tayur S. R., Ganeshan R., Magazine M. J. ptimal policies and simulation based optimization for capacitated production inventory systems. Quantitative Models for Supply Chain Management (1999) (Kluwer Academic, Boston, MA) . Chapter 2 inCrossref, Google Scholar
- , Banks J. Experimental design for sensitivity analysis, optimization, and validation of simulation models. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice (1998) (John Wiley & Sons, New York) . Chapter 6 inCrossref, Google Scholar
- Simulation Modeling and Analysis. (2000) 3rd ed.(McGraw-Hill, New York) Google Scholar
- Simple procedures for selectingthe best simulated system when the number of alternatives is large. Operations Research (2001) 49:950–963Link, Google Scholar
- Random Number Generation and Quasi-Monte Carlo Methods (1992) (SIAM, Philadelphia, PA) Crossref, Google Scholar
- Monte Carlo and Quasi-Monte Carlo Methods (2000) (Springer, New York) Google Scholar
- Optimization of Stochastic Models (1996) (Kluwer Academic, Boston, MA) Crossref, Google Scholar
- Analysis of sample-path optimization. Mathematics of Operations Research (1996) 21:513–528Link, Google Scholar
- Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1993) (John Wiley & Sons, New York) Google Scholar
- Robust design: seeking the best of all possible worlds. Proceedings of the Winter Simulation Conference (2000) 69–76 http://www.informs-cs.org/wsc00papers/013.PDFCrossref, Google Scholar
- Nested partitioned method for global optimization. Operations Research (2000) 48:390–407Link, Google Scholar
- Large Deviations for Performance Analysis: Queue, Communications, and Computing (1998) 2nd ed.(Springer-Verlag, Berlin, Germany) Google Scholar
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Transactions on Automatic Control (1992) 37:332–341Crossref, Google Scholar
- Discrete-event simulation optimization: a survey of recent advances. IIE Transactions (2001) . SubmittedGoogle Scholar
- Large Deviations and Applications (1984) (SIAM, Philadelphia, PA) Crossref, Google Scholar
- Stochastic Modeling and the Theory of Queues (1989) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar

