Neal Kaw
Personal Details
First Name: | Neal |
Middle Name: | |
Last Name: | Kaw |
Suffix: | |
RePEc Short-ID: | pka1647 |
[This author has chosen not to make the email address public] | |
Research output
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- Chan, Timothy C.Y. & Kaw, Neal, 2020. "Inverse optimization for the recovery of constraint parameters," European Journal of Operational Research, Elsevier, vol. 282(2), pages 415-427.
Citations
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- Chan, Timothy C.Y. & Kaw, Neal, 2020.
"Inverse optimization for the recovery of constraint parameters,"
European Journal of Operational Research, Elsevier, vol. 282(2), pages 415-427.
Cited by:
- Merve Bodur & Timothy C. Y. Chan & Ian Yihang Zhu, 2022. "Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1471-1488, May.
- Ghobadi, Kimia & Mahmoudzadeh, Houra, 2021. "Inferring linear feasible regions using inverse optimization," European Journal of Operational Research, Elsevier, vol. 290(3), pages 829-843.
- Lili Zhang & Wenhao Guo, 2023. "Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark," Mathematics, MDPI, vol. 11(14), pages 1-15, July.
- Fernández-Blanco, Ricardo & Morales, Juan Miguel & Pineda, Salvador, 2021. "Forecasting the price-response of a pool of buildings via homothetic inverse optimization," Applied Energy, Elsevier, vol. 290(C).
- Shi Yu & Haoran Wang & Chaosheng Dong, 2020. "Learning Risk Preferences from Investment Portfolios Using Inverse Optimization," Papers 2010.01687, arXiv.org, revised Feb 2021.
- Roghayeh Yousefi & Nasser Talebbeydokhti & Seyyed Hosein Afzali & Maryam Dehghani & Ali Akbar Hekmatzadeh, 2023. "Understanding the effects of subsidence on unconfined aquifer parameters by integration of Lattice Boltzmann Method (LBM) and Genetic Algorithm (GA)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1571-1600, January.
- Ren, Xiyuan & Chow, Joseph Y.J., 2022. "A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 396-418.
- Abd Allah A. Mousa & Yousria Abo-Elnaga, 2020. "Stability of Solutions for Parametric Inverse Nonlinear Cost Transportation Problem," Mathematics, MDPI, vol. 8(11), pages 1-21, November.
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