James Wilson

Lolos, A., Boone, J. H., Alexopoulos, C., Goldsman, D., Dingec, K. D., Mokashi, A. C., & Wilson, J. R. (2022). A SEQUENTIAL METHOD FOR ESTIMATING STEADY-STATE QUANTILES USING STANDARDIZED TIME SERIES. 2022 WINTER SIMULATION CONFERENCE (WSC), pp. 73–84. https://doi.org/10.1109/WSC57314.2022.10015283

Lei, L., Alexopoulos, C., Peng, Y., & Wilson, J. R. (2022). ESTIMATING CONFIDENCE REGIONS FOR DISTORTION RISK MEASURES AND THEIR GRADIENTS. 2022 WINTER SIMULATION CONFERENCE (WSC), pp. 13–24. https://doi.org/10.1109/WSC57314.2022.10015404

Lei, L., Alexopoulos, C., Peng, Y., & Wilson, J. R. (2020). CONFIDENCE INTERVALS AND REGIONS FOR QUANTILES USING CONDITIONAL MONTE CARLO AND GENERALIZED LIKELIHOOD RATIOS. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 2071–2082. https://doi.org/10.1109/WSC48552.2020.9383910

Slocum, R. F., Jones, H. L., Fletcher, M. T., McConnell, B. M., Hodgson, T. J., Taheri, J., & Wilson, J. R. (2020). Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study. Health Systems, 2, 1–16. https://doi.org/10.1080/20476965.2019.1709908

Alexopoulos, C., Boone, J. H., Goldsman, D., Lobos, A., Dingec, K. D., & Wilson, J. R. (2020). STEADY-STATE QUANTILE ESTIMATION USING STANDARDIZED TIME SERIES. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 289–300. https://doi.org/10.1109/WSC48552.2020.9384130

Liu, R., Kuhl, M. E., Liu, Y., & Wilson, J. R. (2019). Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes. INFORMS JOURNAL ON COMPUTING, 31(2), 347–366. https://doi.org/10.1287/ijoc.2018.0828

Zhang, Y., Wu, H., Denton, B. T., Wilson, J. R., & Lobo, J. M. (2019). Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities: an application in evaluating treatment decisions for type 2 diabetes. Health Care Management Science, 22(1), 34–52. https://doi.org/10.1007/S10729-017-9420-8

Alexopoulos, C., Goldsman, D., Mokashi, A. C., Tien, K.-W., & Wilson, J. R. (2019). Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations. OPERATIONS RESEARCH, 67(4), 1162–1183. https://doi.org/10.1287/opre.2018:1829

Hicklin, K. T., Ivy, J. S., Wilson, J. R., Cobb Payton, F., Viswanathan, M., & Myers, E. R. (2019). Simulation model of the relationship between cesarean section rates and labor duration. Health Care Management Science, 22(4), 635–657. https://doi.org/10.1007/s10729-018-9449-3

Moore, T. A., McConnell, B. M., & Wilson, J. R. (2018). Simulation-based Evaluation On Integrating Additive Manufacturing Capability In A Deployed Military Environment. Proceedings of the 2018 Winter Simulation Conference, 3721–3729. https://doi.org/10.1109/wsc.2018.8632474

Capan, M., Ivy, J. S., Wilson, J. R., & Huddleston, J. M. (2017). A stochastic model of acute-care decisions based on patient and provider heterogeneity. HEALTH CARE MANAGEMENT SCIENCE, 20(2), 187–206. https://doi.org/10.1007/s10729-015-9347-x

Alexopoulos, C., Goldsman, D., Mokashi, A. C., & Wilson, J. R. (2017). Automated Estimation of Extreme Steady-State Quantiles via the Maximum Transformation. ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 27(4). https://doi.org/10.1145/3122864

Sargent, R. G., & Wilson, J. R. (2017). Creation of the computer simulation archive. 2017 winter simulation conference (wsc), 324–329. https://doi.org/10.1109/wsc.2017.8247796

Goldsman, D., Costa, M. D., Goldsman, P., & Wilson, J. R. (2017). History of the Winter Simulation Conference: Overview and notable facts and figures. 2017 winter simulation conference (wsc), 16–39. https://doi.org/10.1109/wsc.2017.8247318

Seminelli, M. D., Wilson, J. W., & McConnell, B. M. (2017). Implementing discrete event simulation to improve optometry clinic operations. Proceedings - Winter Simulation Conference, 2157–2168. https://doi.org/10.1109/wsc.2016.7822258

Lobo, J. M., Denton, B. T., Wilson, J. R., Shah, N. D., & Smith, S. A. (2017). Using claims data linked with electronic health records to monitor and improve adherence to medication. IISE Transactions on Healthcare Systems Engineering, 7(4), 194–214. https://doi.org/10.1080/24725579.2017.1346728

Orgut, I. S., Ivy, J., Uzsoy, R., & Wilson, J. R. (2016). Modeling for the equitable and effective distribution of donated food under capacity constraints. IIE TRANSACTIONS, 48(3), 252–266. https://doi.org/10.1080/0740817x.2015.1063792

Thompson, J. R., & Wilson, J. R. (2016). Multifractal detrended fluctuation analysis: Practical applications to financial time series. MATHEMATICS AND COMPUTERS IN SIMULATION, 126, 63–88. https://doi.org/10.1016/j.matcom.2016.03.003

Alexopoulos, C., Goldsman, D., Tang, P., & Wilson, J. R. (2016). SPSTS: A sequential procedure for estimating the steady-state mean using standardized time series. IIE TRANSACTIONS, 48(9), 864–880. https://doi.org/10.1080/0740817x.2016.1163443

Thompson, J. R., & Wilson, J. R. (2015). Agent-based simulations of financial markets: zero- and positive-intelligence models. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 91(6), 527–552. https://doi.org/10.1177/0037549715582252

Tejada, J. J., Ivy, J. S., Wilson, J. R., Ballan, M. J., Diehl, K. M., & Yankaskas, B. C. (2015). Combined DES/SD model of breast cancer screening for older women, I: Natural-history simulation. IIE TRANSACTIONS, 47(6), 600–619. https://doi.org/10.1080/0740817x.2014.959671

Wang, H., Kim, S.-H., Huo, X., Hur, Y., & Wilson, J. R. (2015). Monitoring nonlinear profiles adaptively with a wavelet-based distribution-free CUSUM chart. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 53(15), 4648–4667. https://doi.org/10.1080/00207543.2015.1029085

Lobo, B. J., Wilson, J. R., Thoney, K. A., Hodgson, T. J., & King, R. E. (2014). A practical method for evaluating worker allocations in large-scale dual resource constrained job shops. IIE Transactions, 46(11), 1209–1226. https://doi.org/10.1080/0740817X.2014.892231

Tejada, J. J., Ivy, J. S., King, R. E., Wilson, J. R., Ballan, M. J., Kay, M. G., … Yankaskas, B. C. (2014). Combined DES/SD model of breast cancer screening for older women, II: screening-and-treatment simulation. IIE Transactions, 46(7), 707–727. https://doi.org/10.1080/0740817x.2013.851436

Zhang, S., Ivy, J. S., Wilson, J. R., Diehl, K. M., & Yankaskas, B. C. (2014). Competing risks analysis in mortality estimation for breast cancer patients from independent risk groups. HEALTH CARE MANAGEMENT SCIENCE, 17(3), 259–269. https://doi.org/10.1007/s10729-013-9255-x

Lobo, B. J., Hodgson, T. J., King, R. E., Thoney, K. A., & Wilson, J. R. (2013). Allocating job-shop manpower to minimize L-max : Optimality criteria, search heuristics, and probabilistic quality metrics. Computers & Operations Research, 40(10), 2569–2584. https://doi.org/10.1016/J.COR.2013.02.008

Lobo, B. J., Hodgson, T. J., King, R. E., Thoney, K. A., & Wilson, J. R. (2013). An effective lower bound on <mml:math altimg="si0041.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>max</mml:mi></mml:mrow></mml:msub></mml:math> in a worker-constrained job shop. Computers & Operations Research, 40(1), 328–343. https://doi.org/10.1016/j.cor.2012.07.003

Lee, J., Hur, Y., Kim, S.-H., & Wilson, J. R. (2012). Monitoring nonlinear profiles using a wavelet-based distribution-free CUSUM chart. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 50(22), 6574–6594. https://doi.org/10.1080/00207543.2012.655865

Tafazzoli, A., Steiger, N. M., & Wilson, J. R. (2011). N-Skart: A Nonsequential Skewness- and Autoregression-Adjusted Batch-Means Procedure for Simulation Analysis. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 56(2), 254–264. https://doi.org/10.1109/tac.2010.2052137

Wilson, J. R. (2011). Note on 'Influences of Resource Limitations and Transmission Costs on Epidemic Simulations and Critical Thresholds in Scale-Free Networks'. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 87(3), 262–266. https://doi.org/10.1177/0037549710366018

Tafazzoli, A., Wilson, J. R., Lada, E. K., & Steiger, N. M. (2011). Performance of Skart: A Skewness- and Autoregression-Adjusted Batch Means Procedure for Simulation Analysis. INFORMS JOURNAL ON COMPUTING, 23(2), 297–314. https://doi.org/10.1287/ijoc.1100.0401

Tafazzoli, A., & Wilson, J. R. (2011). Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis. IIE TRANSACTIONS, 43(2), 110–128. https://doi.org/10.1080/0740817x.2010.504688

Mokashi, A. C., Tejada, J. J., Yousefi, S., Xu, T., Wilson, J. R., Tafazzoli, A., & Steiger, N. M. (2010). PERFORMANCE COMPARISON OF MSER-5 AND N-SKART ON THE SIMULATION START-UP PROBLEM. PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE, pp. 971–982. https://doi.org/10.1109/wsc.2010.5679094

Kuhl, M. E., Ivy, J. S., Lada, E. K., Steiger, N. M., Wagner, M. A., & Wilson, J. R. (2010). Univariate input models for stochastic simulation. Journal of Simulation, 4(2), 81–97. https://doi.org/10.1057/jos.2009.31

Alexopoulos, C., Goldsman, D., & Wilson, J. R. (2009). Advancing the Frontiers of Simulation: A festschrift in honor of George Samuel Fishman (C. Alexopoulos, D. Goldsman, & J. R. Wilson, Eds.). New York: Springer Verlag.

Antonini, C., Alexopoulos, C., Goldsman, D., & Wilson, J. R. (2009). Area variance estimators for simulation using folded standardized time series. IIE TRANSACTIONS, 41(2), 134–144. https://doi.org/10.1080/07408170802331268

Lee, J., Alexopoulos, C., Goldsman, D., Kim, S.-H., Tsui, K.-L., & Wilson, J. R. (2009). Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation. IIE TRANSACTIONS, 41(11), 979–994. https://doi.org/10.1080/07408170902906035

Alexopoulos, C., Goldsman, D., Fontanesi, J., Kopald, D., & Wilson, J. R. (2008, February). Modeling patient arrivals in community clinics. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, Vol. 36, pp. 33–43. https://doi.org/10.1016/j.omega.2005.07.013

Lada, E. K., Steiger, N. M., & Wilson, J. R. (2008). SBatch: A spaced batch means procedure for steady-state simulation analysis. Journal of Simulation, 2(3), 170–185. https://doi.org/10.1057/jos.2008.11

Tafazzoli, A., Wilson, J. R., Lada, E. K., & Steiger, N. M. (2008). SKART: A SKEWNESS- AND AUTOREGRESSION-ADJUSTED BATCH-MEANS PROCEDURE FOR SIMULATION ANALYSIS. 2008 WINTER SIMULATION CONFERENCE, VOLS 1-5, pp. 387-+. https://doi.org/10.1109/wsc.2008.4736092

Kim, S.-H., Alexopoulos, C., Tsui, K.-L., & Wilson, J. R. (2007). A distribution-free tabular CUSUM chart for autocorrelated data. IIE TRANSACTIONS, 39(3), 317–330. https://doi.org/10.1080/07408170600743946

Wilson, J. R. (2007, April). Editor's introduction: Special issue honoring Perwez Shahabuddin. ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, Vol. 17. https://doi.org/10.1145/1225275.1225276

Alexopoulos, C., Argon, N. T., Goldsman, D., Steiger, N. M., Tokol, G., & Wilson, J. R. (2007). Efficient computation of overlapping variance estimators for simulation. INFORMS JOURNAL ON COMPUTING, 19(3), 314–327. https://doi.org/10.1287/ijoc.1060.0198

Aktaran-Kalaycı, T., Alexopoulos, C., Argon, N. T., Goldsman, D., & Wilson, J. R. (2007). Exact expected values of variance estimators for simulation. Naval Research Logistics, 54(4), 397–410. https://doi.org/10.1002/nav.20215

Aktaran-Kalayci, T., Goldsman, D., & Wilson, J. R. (2007). Linear combinations of overlapping variance estimators for simulation. OPERATIONS RESEARCH LETTERS, 35(4), 439–447. https://doi.org/10.1016/j.orl.2006.08.007

Alexopoulos, C., Argon, N. T., Goldsman, D., Tokol, G., & Wilson, J. R. (2007). Overlapping variance estimators for simulation. OPERATIONS RESEARCH, 55(6), 1090–1103. https://doi.org/10.1287/opre.1070.0475

Lada, E. K., Wilson, J. R., Steiger, N. M., & Joines, J. A. (2007). Performance of a wavelet-based spectral procedure for steady-state simulation analysis. INFORMS Journal on Computing, 19(2), 150–160. https://doi.org/10.1287/ijoc.1050.0161

Lada, E. K., & Wilson, J. R. (2006). A wavelet-based spectral procedure for steady-state simulation analysis. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 174(3), 1769–1801. https://doi.org/10.1016/j.ejor.2005.04.025

Kuhl, M. E., Sumant, S. G., & Wilson, JR. (2006). An automated multiresolution procedure for modeling complex arrival processes. INFORMS JOURNAL ON COMPUTING, 18(1), 3–18. https://doi.org/10.1287/ijoc.1040.0113

Joines, S. M. B., Sommerich, C. M., Mirka, G. A., Wilson, J. R., & Moon, S. D. (2006). Low-level exertions of the neck musculature: A study of research methods. Journal of Electromyography and Kinesiology, 16(5), 485–497. https://doi.org/10.1016/j.jelekin.2005.09.007

Lada, E. K., Steiger, N. M., & Wilson, J. R. (2006). Performance evaluation of recent procedures for steady-state simulation analysis. IIE TRANSACTIONS, 38(9), 711–727. https://doi.org/10.1080/07408170600735520

Kim, S.-H., Nelson, B. L., & Wilson, J. R. (2005). Some Almost-Sure Convergence Properties Useful in Sequential Analysis. Sequential Analysis, 24(4), 411–419. https://doi.org/10.1080/07474940500311021

Zouaoui, F., & Wilson, JR. (2004). Accounting for input-model and input-parameter uncertainties in simulation. IIE TRANSACTIONS, 36(11), 1135–1151. https://doi.org/10.1080/07408170490500708

Wilson, A. D., King, R. E., & Wilson, J. R. (2004). Case study on statistically estimating minimum makespan for flow line scheduling problems. European Journal of Operational Research, 155(2), 439–454. https://doi.org/10.1016/S0377-2217(02)00910-4

Stanfield, P. M., Wilson, J. R., & King, R. E. (2004). Flexible modelling of correlated operation times with application in product-reuse facilities. International Journal of Production Research, 42(11), 2179–2196. https://doi.org/10.1080/0020754042000203903

Zouaoui, F., & Wilson, J. R. (2003). Accounting for parameter uncertainty in simulation input modeling. IIE Transactions, 35(9), 781–792. https://doi.org/10.1080/0740817039QN548

Irizarry, M. D. A., Kuhl, M. E., Lada, E. K., Subramanian, S., & Wilson, J. R. (2003). Analyzing transformation-based simulation metamodels. IIE Transactions, 35(3), 271–283. https://doi.org/10.1080/07408170390175495

Maingi, R., Bell, M. G., Bell, R. E., Bialek, J., Bourdelle, C., Bush, C. E., … Zweben, S. J. (2003, May). Recent results from the national spherical torus experiment. PLASMA PHYSICS AND CONTROLLED FUSION, Vol. 45, pp. 657–669. https://doi.org/10.1088/0741-3335/45/5/310

Lada, E. K., Lu, J. C., & Wilson, JR. (2002). A wavelet-based procedure for process fault detection. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 15(1), 79–90. https://doi.org/10.1109/66.983447

Medaglia, A. L., Fang, S. C., Nuttle, H. L. W., & Wilson, JR. (2002). An efficient and flexible mechanism for constructing membership functions. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 139(1), 84–95. https://doi.org/10.1016/S0377-2217(01)00157-6

Steiger, N. M., & Wilson, JR. (2002). An improved batch means procedure for simulation output analysis. MANAGEMENT SCIENCE, 48(12), 1569–1586. https://doi.org/10.1287/mnsc.48.12.1569.438

Wilson, JR. (2002). Responsible authorship and peer review. SCIENCE AND ENGINEERING ETHICS, 8(2), 155–174. https://doi.org/10.1007/s11948-002-0016-3

Irizarry, M. D. A., Wilson, JR, & Trevino, J. (2001). A flexible simulation tool for manufacturing-cell design, I: model structure, operation, and case study. IIE TRANSACTIONS, 33(10), 827–836. https://doi.org/10.1023/A:1010966420792

Irizarry, M. D. A., Wilson, JR, & Trevino, J. (2001). A flexible simulation tool for manufacturing-cell design, II: response surface analysis and case study. IIE TRANSACTIONS, 33(10), 837–846. https://doi.org/10.1023/A:1010970504862

Wilson, JR. (2001). A multiplicative decomposition property of the screening-and-selection procedures of Nelson et al. OPERATIONS RESEARCH, 49(6), 964–966. https://doi.org/10.1287/opre.49.6.964.10013

Wilson, J. R., & Goldsman, D. (2001). Alan Pritsker's multifaceted career: theory, practice,education, entrepreneurship, and service. IIE Transactions, 33(3), 139–147. https://doi.org/10.1080/07408170108936818

Steiger, N. M., & Wilson, JR. (2001). Convergence properties of the batch means method for simulation output analysis. INFORMS JOURNAL ON COMPUTING, 13(4), 277–293. https://doi.org/10.1287/ijoc.13.4.277.9737

Kuhl, M. E., & Wilson, JR. (2001). Modeling and simulating Poisson processes having trends or nontrigonometric cyclic effects. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 133(3), 566–582. https://doi.org/10.1016/S0377-2217(00)00203-4

Humphrey, D. G., & Wilson, JR. (2000). A revised simplex search procedure for stochastic simulation response surface optimization. INFORMS JOURNAL ON COMPUTING, 12(4), 272–283. https://doi.org/10.1287/ijoc.12.4.272.11879

Mirka, G. A., Glasscock, N. F., Stanfield, P. M., & Wilson, JR. (2000). An empirical approach to characterizing trunk muscle coactivation using simulation input modeling techniques. JOURNAL OF BIOMECHANICS, 33(12), 1701–1704. https://doi.org/10.1016/s0021-9290(00)00151-2

Kuhl, M. E., & Wilson, J. R. (2000). Least squares estimation of nonhomogeneous poisson processes. Journal of Statistical Computation and Simulation, 67(1), 75–108.

Nuttle, H. L. W., King, R. E., Hunter, N. A., Wilson, JR, & Fang, S. C. (2000). Simulation Modeling of the textile supply chain - Part 1: The textile-plant models. JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 35–50. https://doi.org/10.1080/00405000008659526

Nuttle, H. L. W., King, R. E., Fang, S. C., Wilson, JR, & Hunter, N. A. (2000). Simulation Modeling of the textile supply chain - Part II: Results and research directions. JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 51–64. https://doi.org/10.1080/00405000008659527

Wilson, JR. (2000, August). Simulation world loses key founder, A. Alan B. Pritsker (1933-2000) - In memoriam. SIMULATION, Vol. 75, pp. 123–124. https://doi.org/10.1177/003754970007500209

Weintraub, A., Cormier, D., Hodgson, T., King, R., Wilson, J., & Zozom, A. (1999). Scheduling with alternatives: a link between process planning and scheduling. IIE Transactions, 31(11), 1093–1102. https://doi.org/10.1080/07408179908969910

Humphrey, D. G., & Wilson, J. R. (1998). A revised simplex search procedure for stochastic simulation response-surface optimization. 1998 Winter Simulation Conference: Proceedings: Grand Hotel, Washington, D.C., 13-16 December, 1998, 751–760. https://doi.org/10.1109/wsc.1998.745060

Avramidis, A. N., & Wilson, JR. (1998). Correlation-induction techniques for estimating quantiles in simulation experiments. OPERATIONS RESEARCH, 46(4), 574–591. https://doi.org/10.1287/opre.46.4.574

Seifert, R. W., Kay, M. G., & Wilson, JR. (1998). Evaluation of AGV routeing strategies using hierarchical simulation. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 36(7), 1961–1976. https://doi.org/10.1080/002075498193057

Kuhl, M. E., Damerdji, H., & Wilson, J. R. (1998). Least squares estimation of nonhomogeneous Poisson processes. 1998 Winter Simulation Conference: Proceedings: Grand Hotel, Washington, D.C., 13-16 December, 1998, 637–646. https://doi.org/10.1109/wsc.1998.745045

Fang, S.-C., Donovan, M., Nuttle, H., & Wilson, J. (1998). Multi-customer due-date bargaining with soft computing. Proceedings of the Fourth Joint Conference of Information Sciences. 1998, 2(1998), 84–87.

Wilson, J. R., Carson, J. S., & Manivannan, M. (1998). The Winter Simulation Conference: The premier forum on simulation practice and theory. OR/MS Today, 25(4), 29–31.

Lavelle, J. P., Wilson, JR, Gold, H. J., & Canada, JR. (1997). A method for the incorporation of parametric uncertainty in the weighted evaluation multi-attribute decision analysis model. COMPUTERS & INDUSTRIAL ENGINEERING, 32(4), 769–786. https://doi.org/10.1016/S0360-8352(97)00012-0

Wilson, JR. (1997). Conduct, misconduct, and cargo cult science. PROCEEDINGS OF THE 1997 WINTER SIMULATION CONFERENCE, pp. 1405–1413. https://doi.org/10.1145/268437.268790

Houck, C. R., Joines, J. A., Kay, M. G., & Wilson, J. R. (1997). Empirical Investigation of the Benefits of Partial Lamarckianism. EVOLUTIONARY COMPUTATION, 5(1), 31–60. https://doi.org/10.1162/evco.1997.5.1.31

Kuhl, M. E., Wilson, JR, & Johnson, M. A. (1997). Estimating and simulating Poisson processes having trends or multiple periodicities. IIE TRANSACTIONS, 29(3), 201–211. https://doi.org/10.1080/07408179708966327

Schriber, T. J., & Wilson, J. R. (1997). In memoriam: Harold Highland (1917-1997). OR/MS Today, 24(6), 55.