Susan R. Hunter

Assistant Professor
School of Industrial Engineering
Purdue University
West Lafayette, IN 47907
susanhunter[at]purdue[dot]edu

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  2017 (6)
The epsilon-constraint method for bi-objective simulation optimization on integer lattices. Cooper, K.; Hunter, S. R.; and Nagaraj, K. 2017.
bibtex
SCORE allocations for multi-objective ranking and selection. Feldman, G.; Hunter, S. R.; and Pasupathy, R. 2017.
bibtex
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. Under review for ACM Transactions on Modeling and Computer Simulation, . 2017.
An introduction to multi-objective simulation optimization [link] link   An introduction to multi-objective simulation optimization [link] paper   An introduction to multi-objective simulation optimization [link]Paper   bibtex   abstract
SCORE allocations for bi-objective ranking and selection. Feldman, G.; and Hunter, S. R. Under minor revision for ACM Transactions on Modeling and Computer Simulation, . 2017.
SCORE allocations for bi-objective ranking and selection [link] link   SCORE allocations for bi-objective ranking and selection [link] paper   SCORE allocations for bi-objective ranking and selection [link]Paper   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, 12. Springer, 2017.
Parallel ranking and selection [pdf] paper   bibtex   buy
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. 2017. Algorithm implemented in Simio Portal Edition.
Efficient ranking and selection in parallel computing environments [link] link   Efficient ranking and selection in parallel computing environments [link] 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, 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 [link] link   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 [link] link   ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience [pdf] paper   doi   bibtex   abstract
  2015 (3)
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 [link] link   Multi-objective simulation optimization on finite sets: optimal allocation via scalarization [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 [link] link   Comparing Message Passing Interface and MapReduce for large-scale parallel ranking and selection [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 [link] link   Optimal sampling laws for bi-objective simulation optimization on finite sets [pdf] paper   doi   bibtex   abstract
  2014 (4)
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. 2014.
A bound on the performance of an optimal ambulance redeployment policy [link] link   A bound on the performance of an optimal ambulance redeployment policy [pdf] paper   doi   bibtex   abstract   36 downloads
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. 2014. 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   157 downloads
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 [link] link   A comparison of two parallel ranking and selection procedures [pdf] paper   doi   bibtex   abstract   16 downloads
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 [link] link   Sequential detection of convexity from noisy function evaluations [pdf] paper   doi   bibtex   abstract   9 downloads
  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. 2013. First Place, 2011 INFORMS Computing Society Student Paper Award.
Optimal sampling laws for stochastically constrained simulation optimization on finite sets [link] link   Optimal sampling laws for stochastically constrained simulation optimization on finite sets [pdf] paper   doi   bibtex   abstract   84 downloads
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 [link] link   Ranking and selection in a high performance computing environment [pdf] paper   doi   bibtex   abstract   47 downloads
  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 [link] link   Exploring bounds on ambulance deployment policy performance [pdf] paper   doi   bibtex   abstract   9 downloads
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 [link] link   Closed-form sampling laws for stochastically constrained simulation optimization on large finite sets [pdf] paper   doi   bibtex   abstract   13 downloads
  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 [link] link   Optimal sampling laws for constrained simulation optimization on finite sets: the bivariate normal case [pdf] paper   doi   bibtex   abstract   31 downloads
  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.
Large-deviation sampling laws for constrained simulation optimization on finite sets [link] link   doi   bibtex   abstract   11 downloads