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Comparison of Algorithms for Constrained Multi-robot Task Allocation

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Advances in Systems Science (ICSS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 539))

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Abstract

This paper introduces and evaluates algorithms for solving a constrained problem of multi-robot task allocation. The problem is NP-hard even in its feasibility version and proves difficult to solve in reasonable time. Tested are dedicated solution algorithms as well as algorithms for the more general multidimensional knapsack/covering problem. Empirical evaluations show that a direct adaptation of knapsack solving methods is either impossible or leads to significant increase in the execution time.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, Wroclaw, Poland

    Maciej Hojda

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  1. Maciej Hojda
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Correspondence to Maciej Hojda .

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Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jerzy Świątek

  2. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jakub M. Tomczak

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Hojda, M. (2017). Comparison of Algorithms for Constrained Multi-robot Task Allocation. In: Świątek, J., Tomczak, J. (eds) Advances in Systems Science. ICSS 2016. Advances in Intelligent Systems and Computing, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-48944-5_24

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  • DOI: https://doi.org/10.1007/978-3-319-48944-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48943-8

  • Online ISBN: 978-3-319-48944-5

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