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ORCIDMyung Soon Song
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2020 – today
- 2025
[j6]Myung Soon Song, Yun Lu, Dominic Rando, Francis J. Vasko:
Statistical analyses of solution methods for the multiple-choice knapsack problem with setups: Implications for OR practitioners. Expert Syst. Appl. 262: 125622 (2025)- [j5]Myung Soon Song, Pei Hua Lin, Yun Lu, Emre Shively-Ertas, Francis J. Vasko
:
A practical approach for dealing with hard knapsack problems using general-purpose integer programming software. Int. Trans. Oper. Res. 32(3): 1472-1493 (2025) - 2023
- [j4]Anthony Dellinger, Yun Lu, Myung Soon Song, Francis J. Vasko:
Simple strategies that generate bounded solutions for the multiple-choice multi-dimensional knapsack problem: a guide for OR practitioners. Int. Trans. Oper. Res. 30(6): 4061-4077 (2023) - [c1]Brooks Emerick, Myung Soon Song, Yun Lu, Francis J. Vasko:
An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem. OLA 2023: 175-185 - 2022
- [j3]Myung Soon Song, Francis J. Vasko, Yun Lu, Kyle Callaghan:
Application of Metaheuristic Approaches for the Variable Selection Problem. Int. J. Appl. Metaheuristic Comput. 13(1): 1-22 (2022) - 2020
- [j2]Dylan Gaspar, Yun Lu, Myung Soon Song, Francis J. Vasko:
Simple population-based metaheuristics for the multiple demand multiple-choice multidimensional knapsack problem. Int. J. Metaheuristics 7(4): 330-351 (2020)
2010 – 2019
- 2012
- [j1]Myung Soon Song, Leon J. Gleser:
A Numerical Likelihood-Based Approach to Combining Correlation Matrices. Commun. Stat. Simul. Comput. 41(9): 1679-1692 (2012)
Coauthor Index
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