L. Jeff Hong
L. Jeff Hong
School of Management and School of Data Science, Fudan University
Verified email at - Homepage
Cited by
Cited by
Discrete optimization via simulation using COMPASS
LJ Hong, BL Nelson
Operations research 54 (1), 115-129, 2006
Kullback-Leibler divergence constrained distributionally robust optimization
Z Hu, LJ Hong
Available at Optimization Online 1 (2), 9, 2013
Sequential convex approximations to joint chance constrained programs: A Monte Carlo approach
LJ Hong, Y Yang, L Zhang
Operations Research 59 (3), 617-630, 2011
Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation
J Xu, BL Nelson, JL Hong
ACM Transactions on Modeling and Computer Simulation (TOMACS) 20 (1), 1-29, 2010
A brief introduction to optimization via simulation
LJ Hong, BL Nelson
Proceedings of the 2009 Winter simulation conference (WSC), 75-85, 2009
Simulating sensitivities of conditional value at risk
LJ Hong, G Liu
Management Science 55 (2), 281-293, 2009
Monte Carlo methods for value-at-risk and conditional value-at-risk: a review
LJ Hong, Z Hu, G Liu
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (4), 1-37, 2014
Estimating quantile sensitivities
LJ Hong
Operations research 57 (1), 118-130, 2009
Stochastic trust-region response-surface method (STRONG)—A new response-surface framework for simulation optimization
KH Chang, LJ Hong, H Wan
INFORMS Journal on Computing 25 (2), 230-243, 2013
Fully sequential procedures for large-scale ranking-and-selection problems in parallel computing environments
J Luo, LJ Hong, BL Nelson, Y Wu
Operations Research 63 (5), 1177-1194, 2015
Review on ranking and selection: A new perspective
LJ Hong, W Fan, J Luo
Frontiers of Engineering Management 8 (3), 321-343, 2021
An adaptive hyperbox algorithm for high-dimensional discrete optimization via simulation problems
J Xu, BL Nelson, LJ Hong
INFORMS Journal on Computing 25 (1), 133-146, 2013
Conditional Monte Carlo estimation of quantile sensitivities
MC Fu, LJ Hong, JQ Hu
Management Science 55 (12), 2019-2027, 2009
Indifference-zone-free selection of the best
W Fan, LJ Hong, BL Nelson
Operations Research 64 (6), 1499-1514, 2016
A sequential procedure for neighborhood selection-of-the-best in optimization via simulation
J Pichitlamken, BL Nelson, LJ Hong
European Journal of Operational Research 173 (1), 283-298, 2006
The tradeoff between sampling and switching: New sequential procedures for indifference-zone selection
LJ Hong, BL Nelson
IIE Transactions 37 (7), 623-634, 2005
Balancing exploitation and exploration in discrete optimization via simulation through a Gaussian process-based search
L Sun, LJ Hong, Z Hu
Operations Research 62 (6), 1416-1438, 2014
A framework for locally convergent random-search algorithms for discrete optimization via simulation
LJ Hong, BL Nelson
ACM Transactions on Modeling and Computer Simulation (TOMACS) 17 (4), 19-es, 2007
Robust simulation of global warming policies using the DICE model
Z Hu, J Cao, LJ Hong
Management science 58 (12), 2190-2206, 2012
Fighting strategies in a market with counterfeits
J Zhang, LJ Hong, RQ Zhang
Annals of Operations Research 192 (1), 49-66, 2012
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