Uncertainty Intervals for Robust Bottleneck Assignment
Michael Elad, Tony A. Wood, Chris Manzie, Iman Shames
Abstract
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Michael Elad, Tony A. Wood, Chris Manzie, Iman Shames
Abstract
Open-access reader
We examine the robustness of bottleneck assignment problems to perturbations in the assignment weights. We derive two algorithms that provide uncertainty bounds for robust assignment. We prove that the bottleneck assignment is guaranteed to be invariant to perturbations which lie within the provided bounds. We apply the method to an example of task assignment for a multi-agent system.
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We examine the robustness of bottleneck assignment problems to perturbations in the assignment weights. We derive two algorithms that provide uncertainty bounds for robust assignment. We prove that the bottleneck assignment is guaranteed to be invariant to perturbations which lie within the provided bounds. We apply the method to an example of task assignment for a multi-agent system.
Key concepts: Bottleneck, Linear bottleneck assignment problem, Robustness (evolution), Weapon target assignment problem, Assignment problem, Generalized assignment problem, Computer science, Mathematical optimization