A multistage distributionally robust optimization approach to water allocation under climate uncertainty

A Robust Approach to Location-Allocation Problem under Uncertainty

This paper presents a new mathematical model for location-allocation problem considering uncertain parameter. In real-world cases, demand, distance, traveling time or any parameters in classical models may change over the period of time. So, considering uncertainty yields more flexibility for the results and its applications. In our study, environmental uncertainty is described by discrete scen...

Multistage Air Traffic Flow Management under Capacity Uncertainty: A Robust and Adaptive Optimization Approach

In this paper, we study the first application of robust and adaptive optimization in the Air Traffic Flow Management (ATFM) problem. The existing models for networkwide ATFM assume deterministic capacity estimates across airports and sectors without taking into account the uncertainty in capacities induced by weather. We introduce a weather-front based approach to model the uncertainty inherent...

A Data-Driven Method for Robust Water Allocation under Uncertainty

a robust optimization approach to resources allocation in maintained systems

optimization of maintenance resources to maximize the system availability is a major concern in different manufacturing systems. therefore, a lot of effort is put to construct optimization models to reach the maximum availability level and to reduce the costs of lack of availability. however, despite these efforts, data uncertainty in the real world problems was neglected in proposed models whi...

Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems

Stochastic programming can effectively describe many decision-making problems in uncertain environments. Unfortunately, such programs are often computationally demanding to solve. In addition, their solution can be misleading when there is ambiguity in the choice of a distribution for the random parameters. In this paper, we propose a model that describes uncertainty in both the distribution fo...