Susan R. Hunter

Associate Professor
School of Industrial Engineering
Purdue University
Grissom Hall, 315 N. Grant St.
West Lafayette, IN 47907
susanhunter[at]purdue[dot]edu

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  2021 (3)
An upper bound on the Hausdorff distance between a Pareto set and its discretization in bi-objective convex quadratic optimization. Ondes, B. E.; and Hunter, S. R. Under Review. 2021.
An upper bound on the Hausdorff distance between a Pareto set and its discretization in bi-objective convex quadratic optimization [link] link   bibtex   abstract  
Parallel Adaptive Survivor Selection. Pei, L.; Nelson, B. L.; and Hunter, S. R. Under Review. 2021.
bibtex   abstract  
Adaptive sampling line search for local stochastic optimization with integer variables. Ragavan, P. K.; Hunter, S. R.; Pasupathy, R.; and Taaffe, M. R. Mathematical Programming. 2021.
Adaptive sampling line search for local stochastic optimization with integer variables [link] link   Adaptive sampling line search for local stochastic optimization with integer variables [pdf] paper   doi   bibtex   abstract  
  2020 (4)
Bi-objective simulation optimization on integer lattices using the epsilon-constraint method in a retrospective approximation framework. Cooper, K.; Hunter, S. R.; and Nagaraj, K. INFORMS Journal on Computing, 32(4): 1080–1100. 2020.
Bi-objective simulation optimization on integer lattices using the epsilon-constraint method in a retrospective approximation framework [pdf] paper   doi   bibtex   abstract  
PyMOSO: Software for multi-objective simulation optimization with R-PERLE and R-MinRLE. Cooper, K.; and Hunter, S. R. INFORMS Journal on Computing, 32(4): 1101–1108. 2020.
PyMOSO: Software for multi-objective simulation optimization with R-PERLE and R-MinRLE [pdf] paper   doi   bibtex   abstract  
Multi-objective ranking and selection: Optimal sampling laws and tractable approximations via SCORE. Applegate, E. A.; Feldman, G.; Hunter, S. R.; and Pasupathy, R. Journal of Simulation, 14(1): 21–40. 2020.
Multi-objective ranking and selection: Optimal sampling laws and tractable approximations via SCORE [pdf] paper   doi   bibtex   abstract  
Evaluation of bi-PASS for parallel simulation optimization. Pei, L.; Nelson, B. L.; and Hunter, S. R. In Bae, K. G.; Feng, B.; Kim, S.; Lazarova-Molnar, S.; Zheng, Z.; Roeder, T.; and Thiesing, R., editor(s), Proceedings of the 2020 Winter Simulation Conference, pages 2960–2971, Piscataway, NJ, 2020. IEEE
Evaluation of bi-PASS for parallel simulation optimization [pdf] paper   doi   bibtex   abstract  
  2019 (3)
An introduction to multi-objective simulation optimization. Hunter, S. R.; Applegate, E. A.; Arora, V.; Chong, B.; Cooper, K.; Rincón-Guevara, O.; and Vivas-Valencia, C. ACM Transactions on Modeling and Computer Simulation, 29(1): 7:1–7:36. January 2019.
An introduction to multi-objective simulation optimization [link] link   doi   bibtex   abstract  
Open Problem–Adaptive Constant-Step Stochastic Approximation. Pasupathy, R.; Honnappa, H.; and Hunter, S. R. Stochastic Systems, 9(3): 307–310. September 2019.
doi   bibtex   abstract  
R-MGSPLINE: Retrospective multi-gradient search for multi-objective simulation optimization on integer lattices. Applegate, E. A.; and Hunter, S. R. In Mustafee, N.; Bae, K. G.; Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; and Son, Y., editor(s), Proceedings of the 2019 Winter Simulation Conference, pages 3516–3527, Piscataway, NJ, 2019. IEEE
R-MGSPLINE: Retrospective multi-gradient search for multi-objective simulation optimization on integer lattices [pdf] paper   doi   bibtex   abstract  
  2018 (2)
SCORE allocations for bi-objective ranking and selection. Feldman, G.; and Hunter, S. R. ACM Transactions on Modeling and Computer Simulation, 28(1): 7:1–7:28. January 2018.
SCORE allocations for bi-objective ranking and selection [link] link   SCORE allocations for bi-objective ranking and selection [pdf] paper   doi   bibtex   abstract  
A new framework for parallel ranking & selection using an adaptive standard. Pei, L.; Nelson, B. L.; and Hunter, S. R. In Rabe, M.; Juan, A. A.; Mustafee, N.; Skoogh, A.; Jain, S.; and Johansson, B., editor(s), Proceedings of the 2018 Winter Simulation Conference, pages 2201–2212, Piscataway, NJ, 2018. IEEE
A new framework for parallel ranking & selection using an adaptive standard [pdf]Paper   doi   bibtex   abstract  
  2017 (3)
Efficient ranking and selection in parallel computing environments. Ni, E. C.; Ciocan, D. F.; Henderson, S. G.; and Hunter, S. R. Operations Research, 65(3): 821–836. May-June 2017. Algorithm implemented in Simio Portal Edition (2017) and in Simio (2019).
Efficient ranking and selection in parallel computing environments [link] paper   doi   bibtex   abstract  
Parallel ranking and selection. Hunter, S. R.; and Nelson, B. L. In Tolk, A.; Fowler, J.; Shao, G.; and Yücesan, E., editor(s), Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences, of Simulation Foundations, Methods and Applications, 12, pages 249–275. Springer, 2017.
Parallel ranking and selection [pdf] paper   doi   bibtex   abstract  
An epsilon-constraint method for integer-ordered bi-objective simulation optimization. Cooper, K.; Hunter, S. R.; and Nagaraj, K. In Chan, W. K. V.; D'Ambrogio, A.; Zacharewicz, G.; Mustafee, N.; Wainer, G.; and Page, E., editor(s), Proceedings of the 2017 Winter Simulation Conference, pages 2303–2314, Piscataway, NJ, 2017. Institute of Electrical and Electronics Engineers, Inc.
An epsilon-constraint method for integer-ordered bi-objective simulation optimization [pdf]Paper   doi   bibtex   abstract  
  2016 (2)
Maximizing quantitative traits in the mating design problem via simulation-based Pareto estimation. Hunter, S. R.; and McClosky, B. IIE Transactions, 48(6): 565–578. 2016. Honorable Mention (Second Place), 2017 IIE Transactions Focused Issue on Operations Engineering & Analytics Best Applications Paper Award.
Maximizing quantitative traits in the mating design problem via simulation-based Pareto estimation [pdf] paper   doi   bibtex   abstract  
ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. Shashaani, S.; Hunter, S. R.; and Pasupathy, R. In Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; and Zhou, E., editor(s), Proceedings of the 2016 Winter Simulation Conference, pages 554–565, Piscataway, NJ, 2016. Institute of Electrical and Electronics Engineers, Inc. 2016 Winter Simulation Conference I-Sim Best Student Paper Award.
ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience [pdf] paper   doi   bibtex   abstract  
  2015 (4)
Stochastically constrained ranking and selection via SCORE. Pasupathy, R.; Hunter, S. R.; Pujowidianto, N. A.; Lee, L. H.; and Chen, C. ACM Transactions on Modeling and Computer Simulation, 25(1): 1–26. January 2015. Journal version, Finalist, Winter Simulation Conference Best Theoretical Paper Award.
Stochastically constrained ranking and selection via SCORE [link] link   Stochastically constrained ranking and selection via SCORE [pdf] paper   doi   bibtex   abstract  
Multi-objective simulation optimization on finite sets: optimal allocation via scalarization. Feldman, G.; Hunter, S. R.; and Pasupathy, R. In Yilmaz, L.; Chan, W. K. V.; Moon, I.; Roeder, T. M. K.; Macal, C.; and Rossetti, M. D., editor(s), Proceedings of the 2015 Winter Simulation Conference, pages 3610–3621, Piscataway, NJ, 2015. Institute of Electrical and Electronics Engineers, Inc. 2015 Winter Simulation Conference I-Sim Best Student Paper Award.
Multi-objective simulation optimization on finite sets: optimal allocation via scalarization [pdf] paper   doi   bibtex   abstract  
Optimal sampling laws for bi-objective simulation optimization on finite sets. Hunter, S. R.; and Feldman, G. In Yilmaz, L.; Chan, W. K. V.; Moon, I.; Roeder, T. M. K.; Macal, C.; and Rossetti, M. D., editor(s), Proceedings of the 2015 Winter Simulation Conference, pages 3749–3757, Piscataway, NJ, 2015. Institute of Electrical and Electronics Engineers, Inc.
Optimal sampling laws for bi-objective simulation optimization on finite sets [pdf] paper   doi   bibtex   abstract  
Comparing Message Passing Interface and MapReduce for large-scale parallel ranking and selection. Ni, E. C.; Ciocan, D. F.; Henderson, S. G.; and Hunter, S. R. In Yilmaz, L.; Chan, W. K. V.; Moon, I.; Roeder, T. M. K.; Macal, C.; and Rossetti, M. D., editor(s), Proceedings of the 2015 Winter Simulation Conference, pages 3858–3867, Piscataway, NJ, 2015. Institute of Electrical and Electronics Engineers, Inc.
Comparing Message Passing Interface and MapReduce for large-scale parallel ranking and selection [pdf] paper   doi   bibtex   abstract  
  2014 (3)
A bound on the performance of an optimal ambulance redeployment policy. Maxwell, M. S.; Ni, E. C.; Tong, C.; Henderson, S. G.; Hunter, S. R.; and Topaloglu, H. Operations Research, 62(5): 1014–1027. September-October 2014.
A bound on the performance of an optimal ambulance redeployment policy [pdf] paper   doi   bibtex   abstract  
Sequential detection of convexity from noisy function evaluations. Jian, N.; Henderson, S. G.; and Hunter, S. R. In Tolk, A.; Diallo, S. D.; Ryzhov, I. O.; Yilmaz, L.; Buckley, S.; and Miller, J. A., editor(s), Proceedings of the 2014 Winter Simulation Conference, pages 3892–3903, Piscataway, NJ, 2014. Institute of Electrical and Electronics Engineers, Inc.
Sequential detection of convexity from noisy function evaluations [pdf] paper   doi   bibtex   abstract  
A comparison of two parallel ranking and selection procedures. Ni, E. C.; Henderson, S. G.; and Hunter, S. R. In Tolk, A.; Diallo, S. D.; Ryzhov, I. O.; Yilmaz, L.; Buckley, S.; and Miller, J. A., editor(s), Proceedings of the 2014 Winter Simulation Conference, pages 3761–3772, Piscataway, NJ, 2014. Institute of Electrical and Electronics Engineers, Inc.
A comparison of two parallel ranking and selection procedures [pdf] paper   doi   bibtex   abstract  
  2013 (2)
Optimal sampling laws for stochastically constrained simulation optimization on finite sets. Hunter, S. R.; and Pasupathy, R. INFORMS Journal on Computing, 25(3): 527–542. Summer 2013. First Place, 2011 INFORMS Computing Society Student Paper Award.
Optimal sampling laws for stochastically constrained simulation optimization on finite sets [pdf] paper   doi   bibtex   abstract  
Ranking and selection in a high performance computing environment. Ni, E. C.; Hunter, S. R.; and Henderson, S. G. In Pasupathy, R.; Kim, S.; Tolk, A.; Hill, R.; and Kuhl, M. E., editor(s), Proceedings of the 2013 Winter Simulation Conference, pages 833–845, Piscataway, NJ, 2013. Institute of Electrical and Electronics Engineers, Inc.
Ranking and selection in a high performance computing environment [pdf] paper   doi   bibtex   abstract  
  2012 (2)
Exploring bounds on ambulance deployment policy performance. Ni, E. C.; Hunter, S. R.; Henderson, S. G.; and Topaloglu, H. In Laroque, C.; Himmelspach, J.; Pasupathy, R.; Rose, O.; and Uhrmacher, A. M., editor(s), Proceedings of the 2012 Winter Simulation Conference, pages 497–508, Piscataway, NJ, 2012. Institute of Electrical and Electronics Engineers, Inc.
Exploring bounds on ambulance deployment policy performance [pdf] paper   doi   bibtex   abstract  
Closed-form sampling laws for stochastically constrained simulation optimization on large finite sets. Pujowidianto, N. A.; Hunter, S. R.; Pasupathy, R.; Lee, L. H.; and Chen, C. In Laroque, C.; Himmelspach, J.; Pasupathy, R.; Rose, O.; and Uhrmacher, A. M., editor(s), Proceedings of the 2012 Winter Simulation Conference, pages 168–177, Piscataway, NJ, 2012. Institute of Electrical and Electronics Engineers, Inc. Finalist, Winter Simulation Conference Best Theoretical Paper Award.
Closed-form sampling laws for stochastically constrained simulation optimization on large finite sets [pdf] paper   doi   bibtex   abstract  
  2011 (1)
Optimal sampling laws for constrained simulation optimization on finite sets: the bivariate normal case. Hunter, S. R.; Pujowidianto, N. A.; Chen, C.; Lee, L. H.; Pasupathy, R.; and Yap, C. M. In Jain, S.; Creasey, R. R.; Himmelspach, J.; White, K. P.; and Fu, M., editor(s), Proceedings of the 2011 Winter Simulation Conference, pages 4294–4302, Piscataway, NJ, 2011. Institute of Electrical and Electronics Engineers, Inc. Finalist, Winter Simulation Conference Best Theoretical Paper Award.
Optimal sampling laws for constrained simulation optimization on finite sets: the bivariate normal case [pdf] paper   doi   bibtex   abstract  
  2010 (1)
Large-deviation sampling laws for constrained simulation optimization on finite sets. Hunter, S. R.; and Pasupathy, R. In Johansson, B.; Jain, S.; Montoya-Torres, J.; Hugan, J.; and Yücesan, E., editor(s), Proceedings of the 2010 Winter Simulation Conference, pages 995–1002, Piscataway, NJ, 2010. Institute of Electrical and Electronics Engineers, Inc.
doi   bibtex   abstract