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Task Assignment Based on a Dual Neural Network

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Advances in Neural Networks – ISNN 2018 (ISNN 2018)

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Abstract

In this paper, task assignment, such as target assignment and parcel dispatching, for multi-agent systems is addressed. The problems are formulated as the linear assignment problem and its extensions. A dual neural network is used for solving them. Simulation results are reported on assigning multiple agents to multiple targets and dispatching parcels to given destinations using multiple agents.

This work was supported in part by the Research Grants Council of the Hong Kong Special Administrative Region of China, under Grants 14207614 and 11208517, and in part by the National Natural Science Foundation of China under grant 61673330.

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Author information

Authors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Jiasen Wang & Jun Wang

  2. Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China

    Jiasen Wang & Jun Wang

Authors
  1. Jiasen Wang
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  2. Jun Wang
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Corresponding author

Correspondence to Jiasen Wang .

Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Doha, Qatar

    Tingwen Huang

  2. Sichuan University, Chengdu, China

    Jiancheng Lv

  3. Southeast University, Nanjing, China

    Changyin Sun

  4. United Institute of Informatics Problems, Minsk, Belarus

    Alexander V. Tuzikov

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Wang, J., Wang, J. (2018). Task Assignment Based on a Dual Neural Network. In: Huang, T., Lv, J., Sun, C., Tuzikov, A. (eds) Advances in Neural Networks – ISNN 2018. ISNN 2018. Lecture Notes in Computer Science(), vol 10878. Springer, Cham. https://doi.org/10.1007/978-3-319-92537-0_78

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  • DOI: https://doi.org/10.1007/978-3-319-92537-0_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92536-3

  • Online ISBN: 978-3-319-92537-0

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