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An extended formulation for two-stage stochastic unit commitment with reserves
Lu, Yiruo; Zhang, Tong; Guan, Yongpei - In: Operations research letters 50 (2022) 3, pp. 235-240
Persistent link: https://www.econbiz.de/10013364078
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A polyhedral characterization of the inverse-feasible region of a mixed-integer program
Lamperski, Jourdain B.; Schaefer, Andrew J. - In: Operations research letters 43 (2015) 6, pp. 575-578
Persistent link: https://www.econbiz.de/10011416304
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A geometric way to build strong mixed-integer programming formulations
Huchette, Joey; Vielma, Juan Pablo - In: Operations research letters 47 (2019) 6, pp. 601-606
Persistent link: https://www.econbiz.de/10012131894
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Integration of progressive hedging and dual decomposition in stochastic integer programs
Guo, Ge; Hackebeil, Gabriel; Ryan, Sarah M.; Watson, … - In: Operations research letters 43 (2015) 3, pp. 311-316
Persistent link: https://www.econbiz.de/10011309532
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MILP models for the selection of a small set of well-distributed points
D'Ambrosio, Claudia; Nannicini, Giacomo; Sartor, Giorgio - In: Operations research letters 45 (2017) 1, pp. 46-52
Persistent link: https://www.econbiz.de/10011687137
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Locally ideal formulations for piecewise linear functions with indicator variables
Sridhar, Srikrishna; Linderoth, Jeff; Luedtke, James - In: Operations research letters 41 (2013) 6, pp. 627-632
Persistent link: https://www.econbiz.de/10010236078
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Evaluating mixed-integer programming models over multiple right-hand sides
Alfant, Rachael M.; Ajayi, Temitayo; Schaefer, Andrew J. - In: Operations research letters 51 (2023) 4, pp. 414-420
Persistent link: https://www.econbiz.de/10014426579