A Hybrid Optimization Approach For the Steiner k-Connected Network Design Problem

2018 ◽  
Vol 64 ◽  
pp. 305-314
Author(s):  
Ibrahima Diarrassouba ◽  
Mohamed Khalil Labidi ◽  
Ali Ridha Mahjoub
2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Hua Sun ◽  
Ziyou Gao ◽  
Fangxia Zhao

This paper develops an adjustable robust optimization approach for a network design problem explicitly incorporating traffic dynamics and demand uncertainty. In particular, a cell transmission model based network design problem of linear programming type is considered to describe dynamic traffic flows, and a polyhedral uncertainty set is used to characterize the demand uncertainty. The major contribution of this paper is to formulate such an adjustable robust network design problem as a tractable linear programming model and justify the model which is less conservative by comparing its solution performance with the robust solution from the usual robust model. The numerical results using one network from the literature demonstrate the modeling advantage of the adjustable robust optimization and provided strategic managerial insights for enacting capacity expansion policies under demand uncertainty.


Networks ◽  
2004 ◽  
Vol 43 (4) ◽  
pp. 256-265 ◽  
Author(s):  
Vardges Melkonian ◽  
�va Tardos

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