A novel distributed scheduling algorithm for time-critical multi-agent systems.

Conference item


Whitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H. 2015. A novel distributed scheduling algorithm for time-critical multi-agent systems. IEEE. https://doi.org/10.1109/IROS.2015.7354299
AuthorsWhitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H.
Abstract

This paper describes enhancements made to the distributed performance impact (PI) algorithm and presents the results of trials that show how the work advances the state-of-the-art in single-task, single-robot, time-extended, multi-agent task assignment for time-critical missions. The improvement boosts performance by integrating the architecture with additional action selection methods that increase the exploratory properties of the algorithm (either soft max or e-greedy task selection). It is demonstrated empirically that the average time taken to perform rescue tasks can reduce by up to 8% and solution of some problems that baseline PI cannot handle is enabled. Comparison with the consensus-based bundle algorithm (CBBA) also shows that both the baseline PI algorithm and the enhanced versions are superior. All test problems center around a team of heterogeneous, autonomous vehicles conducting rescue missions in a 3-dimensional environment, where a number of different tasks must be carried out in order to rescue a known number of victims that is always more than the number of available vehicles.

KeywordsTask allocation algorithms; Distributed task allocation; Multi-agent scheduling; Heuristic algorithms; Time critical scheduling
Year2015
JournalProceedings of the International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/IROS.2015.7354299
Web address (URL)http://hdl.handle.net/10545/622387
hdl:10545/622387
ISBN9781479999941
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File Access Level
Open
Publication dates17 Dec 2015
Publication process dates
Deposited19 Mar 2018, 16:26
ContributorsLoughborough University
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https://repository.derby.ac.uk/item/93972/a-novel-distributed-scheduling-algorithm-for-time-critical-multi-agent-systems

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