In this paper we propose an algorithm that provides an assignment profile with utility at least of the optimal utility.
Jun 22, 2018 · In this paper we propose an algorithm that provides an assignment profile with utility at least. 1/(1+κ) of the optimal utility, where κ ∈ [0, 1] ...
In this paper we propose an algorithm that provides an assignment profile with utility at least 1∕(1+κ) of the optimal utility, where κ∈[0,1] is a parameter for ...
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Guannan Qu, David Brown, and Na Li, Distributed Greedy Algorithm for Multi-Agent Task Assignment Problem with Submodular Utility Functions, Automatica, vol 105, ...
[PDF] Submodular Optimization Problems and Greedy Strategies: A Survey
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Abstract The greedy strategy is an approximation algorithm to solve op- timization problems arising in decision making with multiple actions. How.
2020. Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. G Qu, D Brown, N Li. Automatica 105, 206-215 ...
Other work in [25] discusses the role of information in the task assignment problem. It is shown that the distributed greedy algorithm can be implemented.
Aug 13, 2022 · This paper develops a decentralised task allocation algorithm by leveraging the submodularity concept and a sampling process of task sets.
Jun 30, 2020 · In the parallelized greedy algorithm, each agent requires information from all agents executed in prior iterations. Therefore, an iteration ...
Abstract: We propose a decentralized auction-based algorithm for the solution of dynamic task allocation problems for spatially distributed multi-agent ...