Last fifty years of integer linear programming: A focus on recent practical advances

Mixed-integer linear programming (MILP) has become a cornerstone of operations research. This is driven by the enhanced efficiency of modern solvers, which can today find globally optimal solutions within seconds for problems that were out of reach a decade ago. The versatility of these solvers allo...

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Veröffentlicht in:	European journal of operational research Jg. 324; H. 3; S. 707 - 731
Hauptverfasser:	Clautiaux, François, Ljubić, Ivana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2025 Elsevier
Schlagworte:	Benders decomposition Branch-and-cut Combinatorial optimization Computer Science Dantzig–Wolfe decomposition Mathematics Mixed-integer linear programming Benders decomposition Combinatorial optimization Dantzig–Wolfe decomposition Branch-and-cut Mixed-integer linear programming Combinatorial Optimization Dantzig-Wolfe Decomposition Mixed-Integer Linear Programming Branch-and-Cut Benders Decomposition
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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