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Minimization of the Worst-Case Makespan

  • Wolfram Wiesemann
Chapter
Part of the Advances in Computational Management Science book series (AICM, volume 11)

Abstract

In this chapter we study a robust resource allocation problem that minimizes the worst-case makespan. As in the previous chapters, we assume that the resource allocation is a here-and-now decision, whereas the task start times are modeled as a wait-and-see decision that may depend on random parameters affecting the task durations. In the terminology of Sect. 2.2.2, we therefore study a two-stage robust optimization problem. In contrast to its stochastic counterpart, the complexity of the robust resource allocation problem has been unknown for a long time [Hag88]. The majority of the solution approaches presented in the literature determine suboptimal solutions without bounding the incurred optimality gap.

Keywords

Robust Optimization Resource Allocation Problem Temporal Network Task Duration Benchmark Circuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of ComputingImperial College LondonLondonUK

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