A branch and bound method for the solution of multiparametric mixed integer linear programming problems

In this paper, we present a novel algorithm for the solution of multiparametric mixed integer linear programming (mp-MILP) problems that exhibit uncertain objective function coefficients and uncertain entries in the right-hand side constraint vector. The algorithmic procedure employs a branch and bo...

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Veröffentlicht in:	Journal of global optimization Jg. 59; H. 2-3; S. 527 - 543
Hauptverfasser:	Oberdieck, Richard, Wittmann-Hohlbein, Martina, Pistikopoulos, Efstratios N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.07.2014 Springer Springer Nature B.V
Schlagworte:	Algorithms Branch & bound algorithms Computer Science Integer programming Linear programming Mathematical analysis Mathematical models Mathematics Mathematics and Statistics Methods Mixed integer Operations Research/Decision Theory Optimization Real Functions Strategy Studies Systems engineering Variables Vectors (mathematics) Branch and bound Multiparametric programming Mixed integer linear programming
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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