Input–Output Uncertainty Comparisons for Discrete Optimization via Simulation

Operations Research ◽

10.1287/opre.2018.1796 ◽

2019 ◽

Author(s):

Eunhye Song ◽

Barry L. Nelson

Keyword(s):

Discrete Optimization ◽

Input Output ◽

Output Uncertainty ◽

Optimization Via Simulation

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Input-output uncertainty comparisons for optimization via simulation

2016 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2016.7822390 ◽

2016 ◽

Author(s):

Eunhye Song

Keyword(s):

Input Output ◽

Output Uncertainty ◽

Optimization Via Simulation

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Discrete Optimization via Simulation

Handbook of Simulation Optimization - International Series in Operations Research & Management Science ◽

10.1007/978-1-4939-1384-8_2 ◽

2014 ◽

pp. 9-44 ◽

Author(s):

L. Jeff Hong ◽

Barry L. Nelson ◽

Jie Xu

Keyword(s):

Discrete Optimization ◽

Optimization Via Simulation

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Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms

Operations Research ◽

10.1287/opre.2018.1778 ◽

2019 ◽

Vol 67 (1) ◽

pp. 250-266 ◽

Author(s):

Peter L. Salemi ◽

Eunhye Song ◽

Barry L. Nelson ◽

Jeremy Staum

Keyword(s):

Discrete Optimization ◽

Random Fields ◽

Markov Random Fields ◽

Simulation Framework ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Optimization Via Simulation

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Designing an optimal water quality monitoring network for river systems using constrained discrete optimization via simulation

Engineering Optimization ◽

10.1080/0305215x.2012.748049 ◽

2013 ◽

Vol 46 (1) ◽

pp. 107-129 ◽

Author(s):

Chuljin Park ◽

Ilker T. Telci ◽

Seong-Hee Kim ◽

Mustafa M. Aral

Keyword(s):

Water Quality ◽

Discrete Optimization ◽

Monitoring Network ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

River Systems ◽

Optimization Via Simulation ◽

Water Quality Monitoring Network

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An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems

INFORMS Journal on Computing ◽

10.1287/ijoc.1110.0481 ◽

2013 ◽

Vol 25 (1) ◽

pp. 133-146 ◽

Author(s):

Jie Xu ◽

Barry L. Nelson ◽

L. Jeff Hong

Keyword(s):

Discrete Optimization ◽

High Dimensional ◽

Optimization Via Simulation

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Efficient discrete optimization via simulation using stochastic kriging

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2012.6465197 ◽

2012 ◽

Author(s):

Jie Xu

Keyword(s):

Discrete Optimization ◽

Stochastic Kriging ◽

Optimization Via Simulation

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On the accuracy of input-output uncertainty modeling with interval Type-2 Fuzzy Logic Systems

2012 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzz-ieee.2012.6251287 ◽

2012 ◽

Author(s):

Ondrej Linda ◽

Milos Manic

Keyword(s):

Fuzzy Logic ◽

Uncertainty Modeling ◽

Input Output ◽

Fuzzy Logic Systems ◽

Output Uncertainty ◽

Logic Systems ◽

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A framework for locally convergent random-search algorithms for discrete optimization via simulation

ACM Transactions on Modeling and Computer Simulation ◽

10.1145/1276927.1276932 ◽

2007 ◽

Vol 17 (4) ◽

pp. 19 ◽

Author(s):

L. Jeff Hong ◽

Barry L. Nelson

Keyword(s):

Discrete Optimization ◽

Random Search ◽

Search Algorithms ◽

Optimization Via Simulation

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MO-COMPASS: a fast convergent search algorithm for multi-objective discrete optimization via simulation

IIE Transactions ◽

10.1080/0740817x.2015.1005778 ◽

2015 ◽

Vol 47 (11) ◽

pp. 1153-1169 ◽

Author(s):

Haobin Li ◽

Loo Hay Lee ◽

Ek Peng Chew ◽

Peter Lendermann

Keyword(s):

Discrete Optimization ◽

Search Algorithm ◽

Multi Objective ◽

Optimization Via Simulation

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Multi-objective compass for discrete optimization via simulation

Proceedings of the 2011 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2011.6148096 ◽

2011 ◽

Author(s):

Loo Hay Lee ◽

Ek Peng Chew ◽

Haobin Li

Keyword(s):

Discrete Optimization ◽

Multi Objective ◽

Optimization Via Simulation

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