Distributionally robust joint chance-constrained approach for the stochastic survivable capacitated network design problem

In this paper, we first present a stochastic model for the survivable capacitated network design problem, in which the demand vector is uncertain. To deal with the uncertainty of the demand vector, we use the joint chance-constrained programming method. According to the real-world application, it is...

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Bibliographic Details
Published in:	Journal of combinatorial optimization Vol. 50; no. 4; p. 37
Main Authors:	Khodayifar, Salman, Farjaie, Mohammadreza
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2025 Springer Nature B.V
Subjects:	Approximation Combinatorics Commodities Constraints Convex and Discrete Geometry Demand Diversification Failure Integer programming Linear programming Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Mixed integer Network design Network management systems Nonlinear programming Operations Research/Decision Theory Optimization Robustness Stochastic models Theory of Computation Traffic assignment Uncertainty Upper bounds Bonferroni approximation Joint chance- constrained programming Survivability Distributionally robust Network design problem
ISSN:	1382-6905, 1573-2886
Online Access:	Get full text
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