New models for the robust shortest path problem: complexity, resolution and generalization

2011 ◽  
Vol 207 (1) ◽  
pp. 97-120 ◽  
Author(s):  
Virginie Gabrel ◽  
Cécile Murat ◽  
Lei Wu
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yiyong Pan

The study focuses on a multiple constrained reliable path problem in which travel time reliability and resource constraints are collectively considered. Nonlinear optimization model is developed to model constrained robust shortest path problem. The dual nature of the proposed problem is deduced based on the Lagrangian duality theory. An efficient algorithm based on Lagrangian dual relaxation is designed to solve constrained robust shortest path problem. An extension problem that considers multiple constraints is discussed. Numerical studies indicate that the proposed algorithm is efficient in terms of obtaining the close-to-optimal solutions within reasonable computational times.


2020 ◽  
Vol 148 ◽  
pp. 106651
Author(s):  
Bo Xu ◽  
Xizhao Zhou

Sign in / Sign up

Export Citation Format

Share Document