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    A robust, distributed task allocation algorithm for time-critical, multi agent systems operating in uncertain environments

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    Name:
    Whitbrook, Meng, Chung - Camera ...
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    Authors
    Whitbrook, Amanda cc
    Meng, Qinggang
    Chung, Paul W. H.
    Affiliation
    University of Derby
    Loughborough University
    Issue Date
    2017-06-27
    
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    Abstract
    The aim of this work is to produce and test a robust, distributed, multi-agent task allocation algorithm, as these are scarce and not well-documented in the literature. The vehicle used to create the robust system is the Performance Impact algorithm (PI), as it has previously shown good performance. Three different variants of PI are designed to improve its robustness, each using Monte Carlo sampling to approximate Gaussian distributions. Variant A uses the expected value of the task completion times, variant B uses the worst-case scenario metric and variant C is a hybrid that implements a combination of these. The paper shows that, in simulated trials, baseline PI does not han-dle uncertainty well; the task-allocation success rate tends to decrease linear-ly as degree of uncertainty increases. Variant B demonstrates a worse per-formance and variant A improves the failure rate only slightly. However, in comparison, the hybrid variant C exhibits a very low failure rate, even under high uncertainty. Furthermore, it demonstrates a significantly better mean ob-jective function value than the baseline.
    Citation
    Whitbrook, A., Meng, Q. and Chung, P. W. H., (2017) “A robust, distributed task allocation algorithm for time-critical, multi agent systems operating in uncertain environments”, in Proceedings, 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems(IEA/AIE 2017), Arras, France, June 17- 21.
    URI
    http://hdl.handle.net/10545/621611
    Additional Links
    http://www.cril.univ-artois.fr/ieaaie2017/
    Type
    Meetings and Proceedings
    Language
    en
    Collections
    Department of Electronics, Computing & Maths

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