On Solving Nonsmooth Mixed-Integer Nonlinear Programming Problems by Outer Approximation and Generalized Benders Decomposition

In this paper, we mainly study nonsmooth mixed-integer nonlinear programming problems and solution algorithms by outer approximation and generalized Benders decomposition. Outer approximation and generalized Benders algorithms are provided to solve these problems with nonsmooth convex functions and...

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Veröffentlicht in:	Journal of optimization theory and applications Jg. 181; H. 3; S. 840 - 863
Hauptverfasser:	Wei, Zhou, Ali, M. Montaz, Xu, Liang, Zeng, Bo, Yao, Jen-Chih
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2019 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Approximation Benders decomposition Calculus of Variations and Optimal Control; Optimization Decomposition Engineering Feasibility Mathematical analysis Mathematics Mathematics and Statistics Nonlinear programming Operations Research/Decision Theory Optimization Theory of Computation Subgradient Generalized Benders decomposition 90C30 Mixed-integer nonlinear programming 90C25 90C11 Master program Outer approximation
ISSN:	0022-3239, 1573-2878
Online-Zugang:	Volltext
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