作者: Byung Do Chung , Tao Yao , Chi Xie , Andreas Thorsen
DOI: 10.1007/S11067-010-9147-2
关键词: Probabilistic-based design optimization 、 Robust optimization 、 Linear programming 、 Network planning and design 、 Dynamic network analysis 、 Sensitivity analysis 、 Mathematical optimization 、 Stochastic programming 、 Robustness (computer science) 、 Computer science
摘要: This paper describes a robust optimization approach for network design problem explicitly incorporating traffic dynamics and demand uncertainty. In particular, we consider cell transmission model based of the linear programming type use box uncertainty sets to characterize The major contribution this is formulate such as tractable demonstrate robustness by comparing its solution performance with nominal from corresponding deterministic model. results numerical experiments justify modeling advantage provide useful managerial insights enacting capacity expansion policies under