Fractional 0–1 programs: links between mixed-integer linear and conic quadratic formulations

This paper focuses on methods that improve the performance of solution approaches for multiple-ratio fractional 0–1 programs (FPs) in their general structure. In particular, we explore the links between equivalent mixed-integer linear programming and conic quadratic programming reformulations of FPs...

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Veröffentlicht in:	Journal of global optimization Jg. 75; H. 2; S. 273 - 339
Hauptverfasser:	Mehmanchi, Erfan, Gómez, Andrés, Prokopyev, Oleg A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2019 Springer Springer Nature B.V
Schlagworte:	Computer Science Formulations Integer programming Integers Linear programming Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Performance enhancement Quadratic programming Real Functions Assortment optimization Fractional 0–1 programming Binary-expansion Conic quadratic programming Mixed-integer linear programming Polymatroid cuts
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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