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A survey of adjustable robust optimization
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …
problems with uncertain data. The objective of static RO is to find solutions that are immune …
A classification and review of approaches and methods for modeling uncertainty in projects
In this paper, we created a classification for major sources of uncertainty in projects and
categorized the studies in project scheduling literature with respect to the uncertainty source …
categorized the studies in project scheduling literature with respect to the uncertainty source …
A robust optimization approach for the multi-mode resource-constrained project scheduling problem
This paper suggests a robust optimization approach for the multi-mode resource-
constrained project scheduling problem with uncertain activity durations. The objective is to …
constrained project scheduling problem with uncertain activity durations. The objective is to …
Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction
Different from traditional project management, the prefabricated building (PB) construction
project has a complex distributed supply chain model, and the overall project is completed …
project has a complex distributed supply chain model, and the overall project is completed …
A review of robust operations management under model uncertainty
Over the past two decades, there has been explosive growth in the application of robust
optimization in operations management (robust OM), fueled by both significant advances in …
optimization in operations management (robust OM), fueled by both significant advances in …
The crowd-ship** with penalty cost function and uncertain travel times
The vehicle routing problem with time windows and occasional drivers (VRPODTW) is an
extension of the vehicle routing problem with time windows, where ordinary people may …
extension of the vehicle routing problem with time windows, where ordinary people may …
Managing secondary risks with optimal risk response strategy and risk-related resource scheduling
Secondary risks may arise as a result of implementing a risk response plan and may
substantially impact the achievement of project objectives. Despite their importance, there is …
substantially impact the achievement of project objectives. Despite their importance, there is …
A two-stage robust optimisation for terminal traffic flow problem
Airport congestion witnesses potential conflicts: insufficient terminal airspace and delay
propagation within scrambled the competition in the terminal manoeuvring area. Re …
propagation within scrambled the competition in the terminal manoeuvring area. Re …
An evolutionary approach for resource constrained project scheduling with uncertain changes
Abstract In Resource Constrained Project Scheduling Problems (RCPSPs), it is usually
assumed that the activity durations are known and integers. This assumption helps to …
assumed that the activity durations are known and integers. This assumption helps to …
A computational study of exact approaches for the adjustable robust resource-constrained project scheduling problem
We study the robust resource-constrained project scheduling problem under budgeted
uncertainty polytope. The problem can be seen as a very challenging variant of the resource …
uncertainty polytope. The problem can be seen as a very challenging variant of the resource …